Meritxell Bach Cuadra

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171 publications

En préparation
 
Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study
Kebiri Hamza, Gholipour Ali, Vasung Lana, Lin Rizhong, Krsnik Željka, Karimi Davood, Bach Cuadra Meritxell.
[DOI][Pmid][serval:BIB_4A067369CFE5]
 
Maturation-informed synthetic Magnetic Resonance Images of the Developing Human Fetal Brain
Lajous Hélène, Boeuf Fló Andrés le, Gordaliza Pedro M., Esteban Oscar, Marqués Ferran, Dunet Vincent, Koob Mériam, Cuadra Meritxell Bach.
[DOI][serval:BIB_6081E5919797]
 
Biometry and volumetry in multi-centric fetal brain MRI: assessing the bias of super-resolution reconstruction
Sanchez Thomas, Mihailov Angeline, Koob Mériam, Girard Nadine, Manchon Aurélie, Valenzuela Ignacio, Gómez-Chiari Marta, Martí Juan Gerard, Pron Alexandre, Eixarch Elisenda et al..
[DOI][serval:BIB_9D822D80D09E]
In press
 
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Molchanova N., Raina V., Malinin A., Rosa F., Depeursinge A., Gales M., Granziera C., Müller H., Graziani M., Cuadra M.B. Computers in biology and medicine. Peer-reviewed.
[DOI][Pmid][serval:BIB_17269E6CF957]
2024
 
A roadmap towards standardized neuroimaging approaches for human thalamic nuclei.
Segobin S., Haast RAM, Kumar V.J., Lella A., Alkemade A., Bach Cuadra M., Barbeau E.J., Felician O., Pergola G., Pitel A.L. et al., 2024/12. Nature reviews. Neuroscience, 25 (12) pp. 792-808. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_6DA928214590]
FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Sanchez T., Esteban O., Gomez Y., Pron A., Koob M., Dunet V., Girard N., Jakab A., Eixarch E., Auzias G. et al., 2024/10. Medical image analysis, 97 p. 103282. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_6790355DA8EB]
 
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Kebiri H., Gholipour A., Lin R., Vasung L., Calixto C., Krsnik Ž., Karimi D., Bach Cuadra M., 2024/07. Medical image analysis, 95 p. 103186. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_5DAA21B7E840]
 
Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation.
Vidal J.P., Danet L., Péran P., Pariente J., Bach Cuadra M., Zahr N.M., Barbeau E.J., Saranathan M., 2024/06. Brain structure & function, 229 (5) pp. 1087-1101. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_9604D6F4D5B0]
Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging.
Lamon S., de Dumast P., Sanchez T., Dunet V., Pomar L., Vial Y., Koob M., Bach Cuadra M., 2024. Frontiers in neurology, 15 p. 1358741. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_569D839EC78C]
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data
Zalevskyi Vladyslav, Sanchez Thomas, Roulet Margaux, Aviles Verdera Jordina, Hutter Jana, Kebiri Hamza, Bach Cuadra Meritxell, 2024. pp. 437-447 dans Lecture Notes in Computer Science, Springer Nature Switzerland.
[URN][DOI][serval:BIB_973F8E4A8F68]
2023
 
Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability.
de Matos K., Cury C., Chougar L., Strike L.T., Rolland T., Riche M., Hemforth L., Martin A., Banaschewski T., Bokde ALW et al., 2023/07. Brain structure & function, 228 (6) pp. 1459-1478. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_A75D868C7257]
BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development.
Sainz Martinez C., Bach Cuadra M., Jorge J., 2023/06. NeuroImage, 273 p. 120074. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_87E26260F80E]
 
Multimodal Magnetic Resonance Imaging Depicts Widespread and Subregion Specific Anomalies in the Thalamus of Early-Psychosis and Chronic Schizophrenia Patients.
Alemán-Gómez Y., Baumgartner T., Klauser P., Cleusix M., Jenni R., Hagmann P., Conus P., Do K.Q., Bach Cuadra M., Baumann P.S. et al., 2023/01/03. Schizophrenia bulletin, 49 (1) pp. 196-207. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_18D066077BD6]
 
FetMRQC: Automated Quality Control for Fetal Brain MRI
Sanchez Thomas, Esteban Oscar, Gomez Yvan, Eixarch Elisenda, Cuadra Meritxell Bach, 2023. pp. 3-16 dans Lecture Notes in Computer Science, Springer Nature Switzerland.
[DOI][serval:BIB_C79FCE1D3BDA]
How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review.
Spagnolo F., Depeursinge A., Schädelin S., Akbulut A., Müller H., Barakovic M., Melie-Garcia L., Bach Cuadra M., Granziera C., 2023. NeuroImage. Clinical, 39 p. 103491. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_72B208896093]
Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction
de Dumast Priscille, Sanchez Thomas, Lajous Hélène, Bach Cuadra Meritxell, 2023. pp. 336-346 dans Lecture Notes in Computer Science, Springer Nature Switzerland.
[URN][DOI][serval:BIB_B08F2822DE01]
Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge.
Di Noto T., Marie G., Tourbier S., Alemán-Gómez Y., Esteban O., Saliou G., Cuadra M.B., Hagmann P., Richiardi J., 2023/01. Neuroinformatics, 21 (1) pp. 21-34. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B6A1DE874D8B]
2022
A New Advanced MRI Biomarker for Remyelinated Lesions in Multiple Sclerosis.
Rahmanzadeh R., Galbusera R., Lu P.J., Bahn E., Weigel M., Barakovic M., Franz J., Nguyen T.D., Spincemaille P., Schiavi S. et al., 2022/09. Annals of neurology, 92 (3) pp. 486-502. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_A7E8C017F374]
A multi-scale probabilistic atlas of the human connectome.
Alemán-Gómez Y., Griffa A., Houde J.C., Najdenovska E., Magon S., Cuadra M.B., Descoteaux M., Hagmann P., 2022/08/23. Scientific data, 9 (1) p. 516. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_493CEE0FC93E]
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.
La Rosa F., Beck E.S., Maranzano J., Todea R.A., van Gelderen P., de Zwart J.A., Luciano N.J., Duyn J.H., Thiran J.P., Granziera C. et al., 2022/08. NMR in biomedicine, 35 (8) pp. e4730. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AA2BF0088C38]
Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping
Tourbier Sebastien, Rue-Queralt Joan, Glomb Katharina, Aleman-Gomez Yasser, Mullier Emeline, Griffa Alessandra, Schöttner Mikkel, Wirsich Jonathan, Tuncel M. Anıl, Jancovic Jakub et al., 2022/06/27. Journal of Open Source Software, 7 (74) p. 4248. Peer-reviewed.
[URN][DOI][serval:BIB_F8FCF7203C80]
A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN).
Lajous H., Roy C.W., Hilbert T., de Dumast P., Tourbier S., Alemán-Gómez Y., Yerly J., Yu T., Kebiri H., Payette K. et al., 2022/05/23. Scientific reports, 12 (1) p. 8682. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9F910B893D7D]
 
A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects.
Rahmanzadeh R., Weigel M., Lu P.J., Melie-Garcia L., Nguyen T.D., Cagol A., La Rosa F., Barakovic M., Lutti A., Wang Y. et al., 2022. NeuroImage. Clinical, 36 p. 103177. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_460AAADA27D4]
BMAT: An open-source BIDS managing and analysis tool.
Vanden Bulcke C., Wynen M., Detobel J., La Rosa F., Absinta M., Dricot L., Macq B., Bach Cuadra M., Maggi P., 2022. NeuroImage. Clinical, 36 p. 103252. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E3F355A84351]
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues.
La Rosa F., Wynen M., Al-Louzi O., Beck E.S., Huelnhagen T., Maggi P., Thiran J.P., Kober T., Shinohara R.T., Sati P. et al., 2022. NeuroImage. Clinical, 36 p. 103205. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_4506B8D09769]
 
Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification
Di Noto Tommaso, Atat Chirine, Teiga Eduardo Gamito, Hegi Monika, Hottinger Andreas, Bach Cuadra Meritxell, Hagmann Patric, Richiardi Jonas, 2022/01/01. pp. 423-436 dans Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021., Communications in Computer and Information Science. Peer-reviewed, Springer, Cham.
[DOI][serval:BIB_4653B6A7BD8C]
Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers.
Sima D.M., Bach Cuadra M., Dyrby T.B., Van Leemput K., 2022. Frontiers in neuroscience, 16 p. 841807. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_DB40F93599BE]
 
Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain.
Kebiri H., Canales-Rodríguez E.J., Lajous H., de Dumast P., Girard G., Alemán-Gómez Y., Koob M., Jakab A., Bach Cuadra M., 2022. Frontiers in neurology, 13 p. 827816. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_BD4D1BDA9F16]
Transfer learning with weak labels from radiology reports: application to glioma change detection
Di Noto Tommaso, Bach Cuadra Meritxell, Atat Chirine, Gamito Teiga Eduardo, Hegi Monika, Hottinger Andreas, Hagmann Patric, Richiardi Jonas, 2022..
[URN][DOI][serval:BIB_9CC85EE111CA]
2021
 
Ophthalmic Magnetic Resonance Imaging: Where Are We (Heading To)?
Niendorf T., Beenakker J.M., Langner S., Erb-Eigner K., Bach Cuadra M., Beller E., Millward J.M., Niendorf T.M., Stachs O., 2021/09. Current eye research, 46 (9) pp. 1251-1270. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0D766C431EA3]
Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis.
Maggi P., Kuhle J., Schädelin S., van der Meer F., Weigel M., Galbusera R., Mathias A., Lu P.J., Rahmanzadeh R., Benkert P. et al., 2021/08/10. Neurology, 97 (6) pp. e543-e553. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_6A4C8678004D]
Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging.
Rahmanzadeh R., Lu P.J., Barakovic M., Weigel M., Maggi P., Nguyen T.D., Schiavi S., Daducci A., La Rosa F., Schaedelin S. et al., 2021/07/28. Brain, 144 (6) pp. 1684-1696. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1C5A25DB7291]
Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma.
Strijbis VIJ, de Bloeme C.M., Jansen R.W., Kebiri H., Nguyen H.G., de Jong M.C., Moll A.C., Bach-Cuadra M., de Graaf P., Steenwijk M.D., 2021/07/16. Scientific reports, 11 (1) p. 14590. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_61A3D7FC211B]
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset.
Payette K., de Dumast P., Kebiri H., Ezhov I., Paetzold J.C., Shit S., Iqbal A., Khan R., Kottke R., Grehten P. et al., 2021/07/06. Scientific data, 8 (1) p. 167. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_6EB3F06B58CA]
 
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.
La Rosa F., Yu T., Barquero G., Thiran J.P., Granziera C., Bach Cuadra M., 2021/05. Computers in biology and medicine, 132 p. 104297. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F08CC4CD5E7D]
Model-informed machine learning for multi-component T<sub>2</sub> relaxometry.
Yu T., Canales-Rodríguez E.J., Pizzolato M., Piredda G.F., Hilbert T., Fischi-Gomez E., Weigel M., Barakovic M., Bach Cuadra M., Granziera C. et al., 2021/04. Medical image analysis, 69 p. 101940. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_934FD7FA4F63]
Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study.
Khawam M., de Dumast P., Deman P., Kebiri H., Yu T., Tourbier S., Lajous H., Hagmann P., Maeder P., Thiran J.P. et al., 2021. Frontiers in pediatrics, 9 p. 639746. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0C9548890931]
GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology.
Lu P.J., Yoo Y., Rahmanzadeh R., Galbusera R., Weigel M., Ceccaldi P., Nguyen T.D., Spincemaille P., Wang Y., Daducci A. et al., 2021. NeuroImage. Clinical, 29 p. 102522. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_39876666592D]
GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation.
Lu P.J., Barakovic M., Weigel M., Rahmanzadeh R., Galbusera R., Schiavi S., Daducci A., La Rosa F., Bach Cuadra M., Sandkühler R. et al., 2021. Frontiers in neuroscience, 15 p. 647535. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5988DB04D91A]
 
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom
Kebiri Hamza, Lajous Hélène, Alemán-Gómez Yasser, Girard Gabriel, Rodríguez Erick Canales, Tourbier Sébastien, Pizzolato Marco, Ledoux Jean-Baptiste, Fornari Eleonora, Jakab András et al., 2021. pp. 12-22 dans Computational Diffusion MRI, Springer International Publishing.
[DOI][WoS][serval:BIB_E166807E6FE7]
2020
 
Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Lajous Hélène, Ledoux Jean-Baptiste, Hilbert Tom, van Heeswijk Ruud B., Bach Cuadra Meritxell, 2020/10/12..
[DOI][serval:BIB_36F6C59AC463]
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
La Rosa Francesco, Beck Erin S., Abdulkadir Ahmed, Thiran Jean-Philippe, Reich Daniel S., Sati Pascal, Bach Cuadra Meritxell, 2020/10/04., 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV dans Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. Peer-reviewed, Prof. Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Prof. Leo Joskowicz.
[URN][serval:BIB_6CDC75E672E9]
Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia
Alemán-Gómez Yasser, Najdenovska Elena, Roine Timo, Fartaria Mário João, Canales-Rodríguez Erick J., Rovó Zita, Hagmann Patric, Conus Philippe, Do Kim Q., Klauser Paul et al., 2020/10. Human Brain Mapping, 41 (14) pp. 4041-4061. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_DB6B8301FFDA]
 
Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T.
Jorge J., Gretsch F., Najdenovska E., Tuleasca C., Levivier M., Maeder P., Gallichan D., Marques J.P., Bach Cuadra M., 2020/09. Magnetic resonance in medicine, 84 (3) pp. 1218-1234. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0D315EB8ED5C]
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
Maggi P., Fartaria M.J., Jorge J., La Rosa F., Absinta M., Sati P., Meuli R., Du Pasquier R., Reich D.S., Bach Cuadra M. et al., 2020/05. NMR in biomedicine, 33 (5) pp. e4283. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_16E178964567]
Automated fetal brain segmentation of 2D magnetic resonance images: transfer learning and 3D topology correction
Kebiri Hamza, de Dumast Priscille, Yu Thomas, Lajous Hélène, Thiran Jean-Philippe, Meuli Reto, Koob Meriam, Bach Cuadra Meritxell, 2020/02/26..
[URN][serval:BIB_7C1BE8E72718]
Fetal brain biometrics: comparison of 2D T2-weighted and 3D volumetric super-resolution magnetic resonance imaging
Khawam Marie, de Dumast Priscille, Deman Pierre, Kebiri Hamza, Yu Thomas, Tourbier Sébastien, Lajous Hélène, Hagmann Patric, Maeder Philippe, Thiran Jean-Philippe et al., 2020/02/26..
[URN][serval:BIB_36798A98FA8E]
Translating fetal brain magnetic resonance image super-resolution reconstruction into the clinical environment
de Dumast Priscille, Deman Pierre, Khawam Marie, Yu Thomas, Tourbier Sébastien, Lajous Hélène, Hagmann Patric, Maeder Philippe, Thiran Jean-Philippe, Meuli Reto et al., 2020/02/26..
[URN][serval:BIB_0B1137535903]
Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics.
Bach Cuadra M., Favre J., Omoumi P., 2020/02. Seminars in musculoskeletal radiology, 24 (1) pp. 50-64. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_93C1E02D6980]
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels
Di Noto Tommaso, Marie Guillaume, Tourbier Sébastien, Alemán-Gómez Yasser, Saliou Guillaume, Bach Cuadra Meritxell, Hagmann Patric, Richiardi Jonas, 2020. pp. 56-66 dans Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, Springer International Publishing.
[URN][DOI][serval:BIB_C85E63E2380A]
Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes.
Todea R.A., Lu P.J., Fartaria M.J., Bonnier G., Du Pasquier R., Krueger G., Bach Cuadra M., Psychogios M.N., Kappos L., Kuhle J. et al., 2020. Frontiers in neurology, 11 p. 973. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_368B9441C688]
Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE.
La Rosa F., Abdulkadir A., Fartaria M.J., Rahmanzadeh R., Lu P.J., Galbusera R., Barakovic M., Thiran J.P., Granziera C., Cuadra M.B., 2020. NeuroImage. Clinical, 27 p. 102335. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_5FF43232BB1C]
RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.
Barquero G., La Rosa F., Kebiri H., Lu P.J., Rahmanzadeh R., Weigel M., Fartaria M.J., Kober T., Théaudin M., Du Pasquier R. et al., 2020. NeuroImage. Clinical, 28 p. 102412. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_765C195C3334]
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
Lajous Hélène, Hilbert Tom, Roy Christopher W., Tourbier Sébastien, de Dumast Priscille, Yu Thomas, Thiran Jean-Philippe, Ledoux Jean-Baptiste, Piccini Davide, Hagmann Patric et al., 2020. pp. 114-124 dans Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Springer International Publishing.
[URN][DOI][serval:BIB_75CF6AA69B7C]
2019
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
Nguyen Huu-Giao, Pica Alessia, Hrbacek Jan, Weber Damien C., La Rosa Francesco, Schalenbourg Ann, Sznitman Raphael, Bach Cuadra Meritxell, 2019/07/08., Medical Imaging with Deep Learning London, 8 ‑ 10 July 2019 pp. 370–379 dans Proceedings of Machine Learning Research, Proceedings of Machine Learning Research, 2019. Peer-reviewed.
[URN][serval:BIB_B8862FBB2AD5]
 
Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE.
Fartaria M.J., Sati P., Todea A., Radue E.W., Rahmanzadeh R., OʼBrien K., Reich D.S., Bach Cuadra M., Kober T., Granziera C., 2019/06. Investigative radiology, 54 (6) pp. 356-364. Peer-reviewed.
[DOI][Pmid][serval:BIB_0975CFC22431]
Episodic memory decline in Parkinson' s disease: relation with white matter hyperintense lesions and influence of quantification method.
Dunet V., Fartaria M.J., Deverdun J., Le Bars E., Maury F., Castelnovo G., Kober T., Cuadra M.B., Geny C., Marechal B. et al., 2019/06. Brain imaging and behavior, 13 (3) pp. 810-818. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_69E19153E20D]
 
Normalization of aberrant pretherapeutic dynamic functional connectivity of extrastriate visual system in patients who underwent thalamotomy with stereotactic radiosurgery for essential tremor: a resting-state functional MRI study.
Tuleasca C., Bolton TAW, Régis J., Najdenovska E., Witjas T., Girard N., Delaire F., Vincent M., Faouzi M., Thiran J.P. et al., 2019/05/10. Journal of neurosurgery, 132 (6) pp. 1792-1801. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F86825CAC31F]
 
Letter to the Editor. Resting-state functional MRI for functional neurosurgery: seeing the light?
Tuleasca C., Régis J., Najdenovska E., Witjas T., Girard N., Thiran J.P., Bach Cuadra M., Levivier M., Van De Ville D., 2019/05. Journal of neurosurgery, 131 (4) pp. 1339–1340. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_A362B1CB2C48]
Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T.
Najdenovska E., Tuleasca C., Jorge J., Maeder P., Marques J.P., Roine T., Gallichan D., Thiran J.P., Levivier M., Bach Cuadra M., 2019/02/04. Scientific reports, 9 (1) p. 1119. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B1F0F0F9F61B]
Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction
Deprez Maria, Price Anthony, Christiaens Daan, Estrin Georgia Lockwood, Cordero-Grande Lucilio, Hutter Jana, Daducci Alessandro, Tournier J-Donald, Rutherford Mary, Counsell Serena J. et al., 2019. IEEE Transactions on Medical Imaging pp. 1-1.
[URN][DOI][serval:BIB_EF7849C49397]
Longitudinal analysis of white matter and cortical lesions in multiple sclerosis.
Fartaria M.J., Kober T., Granziera C., Bach Cuadra M., 2019. NeuroImage. Clinical, 23 p. 101938. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3DC1BC02419D]
2018
In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.
Najdenovska E., Alemán-Gómez Y., Battistella G., Descoteaux M., Hagmann P., Jacquemont S., Maeder P., Thiran J.P., Fornari E., Bach Cuadra M., 2018/11/27. Scientific data, 5 p. 180270. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_F5359B795390]
Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma.
Nguyen H.G., Sznitman R., Maeder P., Schalenbourg A., Peroni M., Hrbacek J., Weber D.C., Pica A., Bach Cuadra M., 2018/11/15. International journal of radiation oncology, biology, physics, 102 (4) pp. 813-820. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9F44E08CE265]
 
Visually-sensitive networks in essential tremor: evidence from structural and functional imaging.
Tuleasca C., Régis J., Najdenovska E., Witjas T., Girard N., Thiran J.P., Bach Cuadra M., Levivier M., Van De Ville D., 2018/06/01. Brain, 141 (6) pp. e47. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_12F3DE379A00]
 
Pretherapeutic functional neuroimaging predicts tremor arrest after thalamotomy.
Tuleasca C., Najdenovska E., Régis J., Witjas T., Girard N., Champoudry J., Faouzi M., Thiran J.P., Bach Cuadra M., Levivier M. et al., 2018/05. Acta neurologica Scandinavica, 137 (5) pp. 500-508. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_BF5630BAF47C]
 
Clinical response to Vim's thalamic stereotactic radiosurgery for essential tremor is associated with distinctive functional connectivity patterns.
Tuleasca C., Najdenovska E., Régis J., Witjas T., Girard N., Champoudry J., Faouzi M., Thiran J.P., Cuadra M.B., Levivier M. et al., 2018/03. Acta neurochirurgica, 160 (3) pp. 611-624. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F2C57B63FEAA]
 
Right Brodmann area 18 predicts tremor arrest after Vim radiosurgery: a voxel-based morphometry study.
Tuleasca C., Witjas T., Van de Ville D., Najdenovska E., Verger A., Girard N., Champoudry J., Thiran J.P., Cuadra M.B., Levivier M. et al., 2018/03. Acta neurochirurgica, 160 (3) pp. 603-609. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_664DD7177003]
Partial volume-aware assessment of multiple sclerosis lesions.
Fartaria M.J., Todea A., Kober T., O'brien K., Krueger G., Meuli R., Granziera C., Roche A., Bach Cuadra M., 2018. NeuroImage. Clinical, 18 pp. 245-253. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_C921F4A494E4]
2017
 
Assessing the clinical outcome of Vim radiosurgery with voxel-based morphometry: visual areas are linked with tremor arrest!
Tuleasca C., Witjas T., Najdenovska E., Verger A., Girard N., Champoudry J., Thiran J.P., Van de Ville D., Cuadra M.B., Levivier M. et al., 2017/11. Acta neurochirurgica, 159 (11) pp. 2139-2144. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C5088B0C1FCF]
Automated template-based brain localization and extraction for fetal brain MRI reconstruction.
Tourbier S., Velasco-Annis C., Taimouri V., Hagmann P., Meuli R., Warfield S.K., Bach Cuadra M., Gholipour A., 2017/07/15. NeuroImage, 155 pp. 460-472. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_F129C2509552]
 
Deep brain stimulation after previous gamma knife thalamotomy of the Vim for essential tremor is feasible! Clinical, electrophysiological and radiological findings.
Tuleasca C., Pralong E., Najdenovska E., Cuadra M.B., Marques JRF, Vingerhoets F., Régis J., Bloch J., Levivier M., 2017/07. Acta neurochirurgica, 159 (7) pp. 1371-1373. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_374B8DB8CBEC]
Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties.
Battistella G., Najdenovska E., Maeder P., Ghazaleh N., Daducci A., Thiran J.P., Jacquemont S., Tuleasca C., Levivier M., Bach Cuadra M. et al., 2017/07. Brain structure & function, 222 (5) pp. 2203-2216. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0E7BF7F6E8D2]
 
An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE.
Fartaria M.J., OʼBrien K., Şorega A., Bonnier G., Roche A., Falkovskiy P., Krueger G., Kober T., Bach Cuadra M., Granziera C., 2017/05. Investigative radiology, 52 (5) pp. 265-273. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C6144D62A545]
 
Automated Detection of White-matter and Cortical Lesions in MP2RAGE at Ultra-High Field using a Single Scan
Fartaria MJ., Roche A., Sorega A., O'Brien K., Krueger G., Maréchal B., Sati P., Reich DS., Kober T., Bach Cuadra M. et al., 2017/04/22. dans Proceedings of 25th Annual Meeting of Intl. Soc. Mag. Reson. Med. (ISMRM). Peer-reviewed.
[serval:BIB_234030485303]
 
PARTIAL VOLUME ESTIMATION IN MULTIPLE SCLEROSIS LESION SEGMENTATION
Fartaria MJ., Sorega A., Kober T., Krueger G., Granziera C., Roche A., Bach Cuadra M., 2017/04/22. dans Proceedings of 25th Annual Meeting of Intl. Soc. Mag. Reson. Med (ISMRM). Peer-reviewed.
[serval:BIB_4D73ED9825C4]
 
The Evolution of Cortical and Sub-cortical Lesion Size and Number Correlates with Changes in Cognition in Early-Stage Relapsing-Remitting Multiple Sclerosis Patients
Sorega A., Fartaria MJ., Bonnier G., Kober T., Du Pasquier R., Schluep M., Krueger G., Bach Cuadra M., Granziera C., 2017/04/22. dans Proceedings of 25th Annual Meeting of Intl. Soc. Mag. Reson. Med (ISMRM).
[serval:BIB_DE7A3632558E]
Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.
Ciller C., De Zanet S., Kamnitsas K., Maeder P., Glocker B., Munier F.L., Rueckert D., Thiran J.P., Bach Cuadra M., Sznitman R., 2017. PloS one, 12 (3) pp. e0173900. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_219E56C424E8]
 
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling
Fartaria Mário João, Roche Alexis, Meuli Reto, Granziera Cristina, Kober Tobias, Bach Cuadra Meritxell, 2017. pp. 142-149 dans Lecture Notes in Computer Science. Peer-reviewed, Springer International Publishing.
[DOI][serval:BIB_147DE58925E1]
 
Validation of automated cortical and subcortical multiple sclerosis lesion detection using a single 7T MP2RAGE scan
Fartaria M. J., Sati P., Todea A., O'Brien K., Reich D. S., Kober T., Bach Cuadra M., Granziera C., 2017. dans 7th Joint European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS)-Americas-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ACTRIMS). Peer-reviewed.
[serval:BIB_7291BAD448F9]
2016
 
Surface-driven registration method for the structure-informed segmentation of diffusion MR images.
Esteban O., Zosso D., Daducci A., Bach-Cuadra M., Ledesma-Carbayo M.J., Thiran J.P., Santos A., 2016/10/01. NeuroImage, 139 pp. 450-461. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_080853C34844]
 
Longitudinal Segmentation of Early-stage Multiple Sclerosis Lesions in Magnetic Resonance Images
Mário João Fartaria, Guillaume Bonnier, Alexis Roche, Bénédicte Maréchal, David Rotzinger, Myriam Schluep, Renaud Du Pasquier, JeanPhilippe Thiran, Gunnar Krueger, Reto Meuli et al., 2016/06/26. dans OHBM 2016, 22nd Annual Meeting of the Organization for Human Brain Mapping. Peer-reviewed.
[serval:BIB_DD26D39B39E0]
Quantification of Fetal Cortical Folding using Slice-to-Volume Reconstructed MRI and FreeSurfer
Tourbier Sebastien, Schaer Marie, Warfield Simon, Meuli Reto, Gholipour Ali, Bach Cuadra Meritxell, 2016/06/22., Organization for Human Brain Mapping dans OHBM 22nd Annual Meeting.
[URN][serval:BIB_C7FA0154C819]
 
Automated detection of white matter and cortical lesions in early stages of multiple sclerosis.
Fartaria M.J., Bonnier G., Roche A., Kober T., Meuli R., Rotzinger D., Frackowiak R., Schluep M., Du Pasquier R., Thiran J.P. et al., 2016/06. Journal of magnetic resonance imaging, 43 (6) pp. 1445-1454. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C055F759C1ED]
Focal cerebellar pathology in early relapsing-remitting multiple sclerosis patients: a MP2RAGE study at 3T and 7T MRI
Fartaria de Oliveira MJ., Bonnier G., Kober T., O'Brien K., Roche A., Maréchal B., Meuli R., Thiran JP., Krueger G., Bach Cuadra M. et al., 2016/05. dans ISMRM 2016 , ISMRM 24rd Annual Meeting & Exhibition, SMRT 25th Annual Meeting. Peer-reviewed.
[URN][serval:BIB_141D9AF5511E]
Longitudinal automated detection of white-matter and cortical lesions in relapsing-remitting multiple sclerosis
Fartaria de Oliveira M. J., Bonnier G., Kober T., Roche A., Maréchal B., Rotzinger D., Schluep M., Du Pasquier R., Thiran J. P., Krueger G. et al., 2016/05. dans ISMRM 2016 , ISMRM 24rd Annual Meeting & Exhibition, SMRT 25th Annual Meeting. Peer-reviewed.
[URN][serval:BIB_607576B10BF7]
Data on the verification and validation of segmentation and registration methods for diffusion MRI.
Esteban O., Zosso D., Daducci A., Bach-Cuadra M., Ledesma-Carbayo M.J., Thiran J.P., Santos A., 2016. Data In Brief, 8 pp. 871-876. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_6F3E124A67DE]
Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project.
Esteban O., Caruyer E., Daducci A., Bach-Cuadra M., Ledesma-Carbayo M.J., Santos A., 2016. Frontiers In Neuroinformatics, 10 p. 4. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_88F17372B09D]
Localization of the Ventro-Intermediate Thalamic Nucleus using Local Diffusion Properties
Najdenovska Elena, Tuleasca Constantin, Bresson Xavier, Maeder Philippe, Battistella Giovanni, Fornari Eleonora, Regis Jean, Thiran Jean-Philippe, Levivier Marc, Cuadra Bach Meritxell, 2016., Organization for Human Brain Mapping dans OHBM 2016, 22nd Annual Meeting .
[URN][serval:BIB_FE306BFF128F]
2015
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.
Schmitter D., Roche A., Maréchal B., Ribes D., Abdulkadir A., Bach-Cuadra M., Daducci A., Granziera C., Klöppel S., Maeder P. et al., 2015/11. Neuroimage. Clinical, 7 pp. 7-17. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_BA742CE2E62D]
 
Ultra-high Field (7 T) MRI and a Novel Robust Segmentation of Thalamic Nuclei on DWI for Gamma Knife Surgery Purposes: The Targeting of the Ventrointermediate Nucleus
Tuleasca C., Najdenovska E., Ferreira Marques J., Thiran J., Bach Cuadra M., Levivier M., 2015/10. pp. P062 dans Joint Annual Meeting 2015: Swiss Society of Neurosurgery and Swiss Society of Neuroradiology Together with IG-NOPPS, Journal of Neurological Surgery Part A: Central European Neurosurgery.
[DOI][serval:BIB_9F814A770D23]
 
Assessment of frame-less vs. frame registration of Computed Tomography and Magnetic Resonance Images in Gamma Knife Surgery planning
Tuleasca C., Najdenovska E., Thiran J.P., Levivier M., Bach-Cuadra M., 2015/06. p. 231 dans 12-th International Stereotactic Radiosurgery Society Congress (ISRS), Journal of Radiosurgery and SBRT.
[serval:BIB_C12D6004BA60]
 
Ultra-high field (7 Tesla) MRI for Gamma Knife surgery targeting of the ventro-intermediate nucleus: a pilot in vivo study on 5 healthy subjects and 2 patients
Tuleasca C., Najdenovska E., Xin L., Ferreira Marques J. R., Thiran J.-P., Bach Cuadra M., Levivier M., 2015/06. p. 149 dans 12-th International Stereotactic Radiosurgery Society Congress (ISRS), Journal of Radiosurgery and SBRT.
[serval:BIB_284AF2874D57]
 
Exploration of advanced MR imaging contrasts for automated detection of white matter and cortical lesions in early-stages of multiple sclerosis
Fartaria Mario Joao, Bonnier Guillaume, Roche Alexis, Kober Tobias, Meuli Reto, Rotzinger David, Schluep Myriam, Du Pasquier Renaud, Thiran Jean-Philippe, Krueger Gunnar et al., 2015/05/30. dans Proceedings of 23th Annual Meeting of ISMRM. Peer-reviewed.
[serval:BIB_FC1DF5F1CBDE]
A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment.
Granziera C., Daducci A., Donati A., Bonnier G., Romascano D., Roche A., Bach Cuadra M., Schmitter D., Klöppel S., Meuli R. et al., 2015. Neuroimage. Clinical, 8 pp. 631-639. Peer-reviewed.
[URN][DOI][Pmid][serval:BIB_9AC329E8E273]
 
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.
Tourbier S., Bresson X., Hagmann P., Thiran J.P., Meuli R., Cuadra M.B., 2015. Neuroimage, 118 pp. 584-597. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_303C69F9B324]
 
Automatic Brain Extraction in Fetal MRI using Multi-Atlas-based Segmentation
Tourbier Sebastien, Hagmann Patric, Cagneaux Maud, Guibaud Laurent, Gorthi Subrahmanyam, Schaer Marie, Thiran Jean-Philippe, Meuli Reto, Cuadra Bach Meritxell, 2015. pp. 94130Y dans Ourselin S, Styner M.A. (eds.) Medical Imaging 2015: Image Processing, SPIE Proceedings, Spie-Int Soc Optical Engineering.
[DOI][serval:BIB_40F526281083]
 
Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma.
Ciller C., De Zanet S.I., Rüegsegger M.B., Pica A., Sznitman R., Thiran J.P., Maeder P., Munier F.L., Kowal J.H., Cuadra M.B., 2015. International Journal of Radiation Oncology, Biology, Physics, 92 (4) pp. 794-802. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B946F14B289D]
 
Landmark detection for fusion of fundus and MRI toward a patient-specific multimodal eye model.
De Zanet S.I., Ciller C., Rudolph T., Maeder P., Munier F., Balmer A., Cuadra M.B., Kowal J.H., 2015. Ieee Transactions on Bio-medical Engineering, 62 (2) pp. 532-540. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_6FF0EBD2C258]
2014
 
Efficient total variation algorithm for fetal MRI reconstruction
Tourbier Sébastien, Bresson Xavier, Hagmann Patric, Thiran Jean-Philippe, Meuli Reto, Bach Cuadra Meritxell, 2014/09. pp. 252-259 dans 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science. Peer-reviewed.
[DOI][WoS][serval:BIB_211046481FEA]
Active Shape Modeling techniques in Ophthalmology: Automatic Segmentation of the eye in magnetic resonance imaging of children
Ciller C., De Zanet S. I., Pica A., Thiran J.P., Maeder P., Munier F.L., Kowal J. H., Bach Cuadra M., 2014/06., Swiss Institute for Computer Assisted Surgery dans 1st Symposium on Statistical Shape Models and Applications, Delémont, Switzerland. Peer-reviewed.
[URN][serval:BIB_C4CE70975082]
Automated brain extraction in fetal mri by multi-atlas fusion strategy: Study on healthy and pathological subjects
Tourbier S., Bresson X., Hagmann P., Cagneaux M., Schaer M., Guibaud L., Thiran JP., Meuli R., Bach Cuadra M., 2014/05. p. 4305 dans ISMRM 2014 Joint Annual Meeting ISMRM, Annual Meeting Proceedings. Peer-reviewed.
[URN][serval:BIB_2499C637169B]
 
Automatic magnetic resonance imaging segmentation of the eye based on 3D active shape modeling
Ciller C., De Zanet S. I., Pica A., Thiran J.P., Maeder P., Munier F.L., Kowal J. H., Bach Cuadra M., 2014/05. dans Annual Meeting of the Association for Research in Vision and Ophtalmology.
[serval:BIB_95AC73BC7C98]
In-vivo 3D Magnetic Resonance Volumetric Analysis of Fetal Cerebellum: From normal to pathology (unilateral cerebellar hypoplasia)
Gianoni M., Schaer M., Tourbier S., Vial Y., Cagneaux M., Hagmann P., Meuli R., Guibeaud L., Bach Cuadra M., 2014/05. p. 3435 dans Joint Annual Meeting ISMRM-ESMRMB 2014, 22nd International Society for Magnetic Resonance in Medicine, Annual Meeting Proceedings. Peer-reviewed.
[URN][serval:BIB_1CBF6A0A9648]
Segmentation of Fetal Pericerebral Spaces Based on Reconstructed High-Resolution MRI
Cagneaux Maud, Bach Cuadra Meritxell, Tourbier Sébastien, Schaer Marie, Hannoun Salem, Guibaud Laurent, Sappey-Marinier Dominique, 2014/05. p. 4618 dans ISMRM 2014, 22nd of the International Society for Magnetic Resonance in Medicine. Proceedings of the International Society for Magnetic Resonance in Medicine.
[URN][serval:BIB_51DA2D956C70]
 
Volume-Based Vs. Voxel-Based Brain Morphometry in Alzheimer's Disease Prediction
Roche Alexis, Schmitter Daniel, Maréchal Bénédicte, Ribes Delphine, Abdulkadir Ahmed, Bach-Cuadra Meritxell, Daducci A., Granziera C., Klöppel Stefan, Maeder Philippe et al., 2014/05. p. 4733 dans SMRM 2014, 22nd of the International Society for Magnetic Resonance in Medicine. Proceedings of the International Society for Magnetic Resonance in Medicine..
[serval:BIB_FCD2573C8A9A]
 
Efficient total variation algorithm for fetal brain MRI reconstruction.
Tourbier S., Bresson X., Hagmann P., Thiran J.P., Meuli R., Cuadra M.B., 2014/03. Medical Image Computing and Computer-assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-assisted Intervention, 17 (Pt 2) pp. 252-259. Peer-reviewed.
[Pmid][serval:BIB_C6ED63D2C46E]
 
Assessment of frame-less vs. frame registration of Computed Tomography and Magnetic Resonance Images in Gamma Knife Surgery planning
Najdenovska E., Tuleasca C., Vingerhoets F., Thiran J.P., Levivier M., Bach Cuadra M., 2014. dans 17th International Leksell Gamma Knife Society Meeting.
[serval:BIB_B6AD207DD248]
 
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge.
Rueda S., Fathima S., Knight C.L., Yaqub M., Papageorghiou A.T., Rahmatullah B., Foi A., Maggioni M., Pepe A., Tohka J. et al., 2014. Ieee Transactions On Medical Imaging, 33 (4) pp. 797-813. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_FAC005835340]
 
MBIS: multivariate Bayesian image segmentation tool.
Esteban O., Wollny G., Gorthi S., Ledesma-Carbayo M.J., Thiran J.P., Santos A., Bach-Cuadra M., 2014. Computer Methods and Programs in Biomedicine, 115 (2) pp. 76-94.
[DOI][WoS][Pmid][serval:BIB_BAF76E8B8FA9]
Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut.
Ciurte A., Bresson X., Cuisenaire O., Houhou N., Nedevschi S., Thiran J.P., Cuadra M.B., 2014. Plos One, 9 (7) pp. e100972. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1D06022B9DAB]
 
Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis
Esteban Oscar, Daducci Alessandro, Caruyer Emmanuel, O'Brien Kieran, Carbayo Ledesma Maria J., Bach Cuadra Meritxell, Santos Andres, 2014. pp. 738 - 741 dans IEEE 11th International Symposium on Biomedical Imaging - From Nano to Macro (ISBI). Peer-reviewed.
[DOI][serval:BIB_65E37F7A5775]
 
Targetting of the ventro-intermediate nucleus using ultra-high field (7T) MRI for gamma knife surgery purposes: A pilot in vivo study on healthy subjects.
Tuleasca C., Najdenovska E., Marques J., Vingerhoets F., Thiran J., Cuadra M.B., Levivier M., 2014. p. 347 dans Neuro-chirurgie.
[DOI][Pmid][serval:BIB_297ACAE51279]
 
Ultra-High Field (7 T) MRI For Gamma Knife Surgery Targeting Of The Vim: a pilot in vivo study
Tuleasca C., Najdenovska E., Xin L., Rebelo Ferreira Marques J., Vingerhoets F., Thiran J.P., Bach Cuadra M., Levivier M., 2014. dans 17th International Leksell Gamma Knife Society Meeting.
[serval:BIB_FE5F85C79EC0]
 
Ultra-High Field (7 Tesla) MRI for Gamma Knife Surgery Targeting of the Ventro-Intermediate Nucleus: A Pilot in Vivo Study
Tuleasca C., Najdenovska E., Xin L., Marques J., Vingerhoets F., Thiran J.P., Bach Cuadra M., Levivier M., 2014. p. 76 dans Joint Annual Meeting 2014 of Swiss Society of Neurosurgery and Swiss Society of Clinical Neurophysiology, Swiss Society of Neuropediatrics Together with Association of neurosurgical nursing staff Switzerland and Swiss Association for Diagnostical Neurophysiology, Journal of Neurological Surgery. Part A, Central European Neurosurgery.
[DOI][serval:BIB_9E2831C957F1]
2013
Weighted Shape-based Averaging with Neighborhood Prior Model for Multiple Atlas Fusion-based Medical Image Segmentation
Gorthi S., Bach Cuadra M., Tercier P., Allal A.S., Thiran J.-Ph., 2013/11. IEEE Signal Processing Letters, 20 (11) pp. 1036-1039. Peer-reviewed.
[URN][DOI][WoS][serval:BIB_524777162C71]
 
A new approach for cerebello-thalamic motor network evaluation in asymptomatic premutation carriers at risk for FXTAS
Battistella G., Ghazaleh N., Fornari E., Najdenovska E., Bach Cuadra M., Jacquemont S., Maeder P., 2013. dans OHBM 2013, Annual Meeting of the Organisation for Human Brain Mapping. Peer-reviewed.
[serval:BIB_D3D545271096]
 
Classical segmentation methods on novel MR imaging: a study of brain tissue segmentation of MP2RAGE vs MPRAGE
Bach Cuadra M., Gelin S., Roche A., Esteban O., Kober T., Marques J., Granziera C., Krüger G., 2013. p. 1738 dans ISMRM 2013, 21st of the International Society for Magnetic Resonance in Medicine, Proceedings of the International Society for Magnetic Resonance in Medicine.
[URN][serval:BIB_8483E2EFE274]
 
Multi-atlas fusion methods for segmentation of head and neck lymph nodes for radiotherapy planning
Gorthi S., Bach Cuadra M., Villafruela V.J., Tercier P.A., Thiran J.P., Allal A.S., 2013. pp. S184 dans 2nd ESTRO Forum 2013, European Society for Therapeutic Radiology and Oncology, Radiotherapy and Oncology.
[serval:BIB_97353F6A7370]
 
Towards a connectome mapping pipeline for neonates using high-resolution MP2RAGE and DTI
Pauli A., Schneider J., Bach Cuadra M., Griffa A., Fischi Gomez E., Meuli R., Thiran J.P., Truttman A., Hagmann P., 2013. dans 21st Annual Meeting International Society for Magnetic Resonance in Medicine.
[serval:BIB_5349DD64F526]
2012
 
Atlas-Free Brain Tissue Segmentation Using a Single T1-Weighted MRI Acquisition
Kober T., Roche A., Esteban O., Gorthi S., Ribes D., Bach Cuadra M., Meuli R., Krueger G., 2012. p. 753 dans ISMRM 2012, 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, SMRT 21st Annual Meeting of the Section for Magnetic Resonance Technologists, Proceedings of the International Society for Magnetic Resonance in Medicine.
[URN][serval:BIB_7EF7B0D5A0AC]
 
Brain tissue segmentation on diffusion weighted magnetic resonance data
Esteban-Sanz O., Gorthi S., Wollny G., Daducci A., Ledesma-Carbayo M.J., Santos A., Thiran J.P., Bach Cuadra M., 2012. dans ISBI 2012, IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[serval:BIB_52DC2FDEA725]
 
Evaluation of Atlas Fusion Strategies for Segmentation of Head and Neck Lymph Nodes for Radiotherapy Planning
Gorthi S., Bach Cuadra M., Schick U., Tercier P.A., Allal Abdelkarim S., Thiran J.P., 2012. Proceedings / IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1276-1279. Peer-reviewed.
[DOI][serval:BIB_21B8699ABD14]
How to measure cortical folding from MR images: a step-by-step tutorial to compute local gyrification index.
Schaer M., Cuadra M.B., Schmansky N., Fischl B., Thiran J.P., Eliez S., 2012. Journal of Visualized Experiments 59 pp. e3417.
[URN][DOI][WoS][Pmid][serval:BIB_A8A1FF619A11]
 
Statistical Modeling of the Eye for Multimodal Treatment Planning for External Beam Radiation Therapy of Intraocular Tumors.
Rüegsegger M.B., Bach Cuadra M., Pica A., Amstutz C.A., Rudolph T., Aebersold D., Kowal J.H., 2012. International Journal of Radiation Oncology, Biology, Physics, 84 (4) pp. e541-e547. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_B68F51ECA6F0]
 
Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach
Ciurte A., Rueda S., Bresson X., Nedevschi S., Papageorghiou A.T., Noble J.A., Bach Cuadra M., 2012. dans MICCAI 2012, 15th International Conference on Medical Image Computing and Computer Assisted Intervention. Peer-reviewed.
[serval:BIB_DED4EDCDEE23]
2011
 
3D Ultrasound Tumor Segmentation and Fusion with CT for Stereotactic Radiation Therapy Planning of Retinoblastoma
Pica A., Karahanoglu Fikret I., Ciurte A.R., Gorthi S., Balmer A., Munier F., Thiran J.P., Bach Cuadra M., 2011. dans ISRS 2011, 10th Biennial Congress and Exhibition of the International Stereotactic Radio Surgery Society.
[serval:BIB_46D8AD8EF602]
 
A pipeline approach with spatial information for segmenting multiple sclerosis lesions on brain magnetic resonance imaging
Cabezas M., Bach Cuadra M., Oliver A., Lladó X., Freixenet J., Vilanova J.C., Valls L., Ramió-Torrentà  L. , Huerga E., Pareto D. et al., 2011. dans 5th Joint Triennial Congress of the European and Americas Committees on Treatment and Research in Multiple Sclerosis (ECTRIMS and ACTRIMS).
[serval:BIB_D22074E2007E]
 
A review of atlas-based segmentation for magnetic resonance brain images.
Cabezas M., Oliver A., Lladó X., Freixenet J., Bach Cuadra M., 2011. Computer Methods and Programs In Biomedicine, 104 (3) pp. e158-e177.
[DOI][WoS][Pmid][serval:BIB_D5EC3AE702C7]
 
Active deformation fields: dense deformation field estimation for atlas-based segmentation using the active contour framework.
Gorthi S., Duay V., Bresson X., Bach Cuadra M., Sánchez Castro F.J., Pollo C., Allal A.S., Thiran J.P., 2011. Medical Image Analysis, 15 (6) pp. 787-800.
[DOI][WoS][Pmid][serval:BIB_DF42379CEF51]
 
An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features
Ciurte A.R., Houhou N., Nedevschi S., Pica A., Munier F., Thiran J.P., Bresson X., Bach Cuadra M., 2011. pp. 969-972 dans Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011, Biomedical Imaging.
[DOI][serval:BIB_8C933F116BF4]
 
Comparison of Energy Minimization Methods for 3-D Brain Tissue Classification
Gorthi S., Thiran J.P., Bach Cuadra M., 2011. dans ICIP 2011, International Conference on Image Processing.
[serval:BIB_747B4E52DE44]
Comparison of tissue classification models for automatic brain MR segmentation
Ribes D., Mortamet B., Bach-Cuadra M., Jack C., Meuli R., Krueger G., Roche A., 2011. p. 535 dans ISMRM 2011, 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Proceedings of the International Society for Magnetic Resonance in Medicine.
[URN][serval:BIB_3CC2FC83B6D7]
Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling
Gorthi S., Bach Cuadra M., Schick U., Tercier P.A., Allal A.S., Thiran J.P., 2011. dans MICCAI 2011, 14th International Conference on Medical Image Computing and Computer Assisted Intervention.
[URN][serval:BIB_0A1525065936]
 
Model-based Segmentation and Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning
Bach Cuadra Meritxell, Gorthi Subrahmanyam, Karahanoglu Fikret Isik, Paquier Benoît, Pica Alessia, Do Huu Phuoc, Balmer Aubain, Munier Francis, Thiran Jean-Philippe, 2011. pp. 247-263 dans Tavares João Manuel R. S., Jorge R. M. Natal (eds.) Computational Vision and Medical Image Processing, Springer Netherlands.
[DOI][serval:BIB_853A933D3447]
 
On the convergence of EM-like algorithms for image segmentation using Markov random fields.
Roche A., Ribes D., Bach-Cuadra M., Krüger G., 2011. Medical Image Analysis, 15 (6) pp. 830-839.
[DOI][WoS][Pmid][serval:BIB_EF6FD7E6BC35]
 
Quantitative morphometry analysis of the fetal brain using clinical MR imaging
Bach C.M., Bonanno G.V., Guibaud L., Eliez S., Thiran J.P., Schaer M., 2011. p. 2482 dans ISMRM 2011, 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Proceedings of the International Society for Magnetic Resonance in Medicine.
[serval:BIB_F787A43A5498]
Towards a diffusion image processing validation and accuracy prediction framework
Pizzorni Ferrarese F., Daducci A., Bach Cuadra M., Lemkaddem A., Granziera C., Thiran J.P., Menegaz G., 2011. pp. 2269-2272 dans ICIP 2011, 18th IEEE International Conference on Image Processing, Proceedings of the International Conference on Image Processing.
[URN][DOI][serval:BIB_E6CA28143AA1]
2010
 
A post-processing pipeline to reconstruct the developing fetal brain using low-resolution MRI
Schaer M., Bach C.M., Eliez S., Guibaud L., Thiran J.P., 2010. dans 16th Annual Meeting of the Organization for Human Brain Mapping.
[serval:BIB_A80F00B1E544]
 
Central and Cortical Gray Mater Segmentation of Magnetic Resonance Images of the Fetal Brain
Bach C.M.Schaer Marie , Bonanno G.V., André A., Guibaud L., Eliez S., Thiran J.P., 2010. dans ISMRM-ESMRMB Joint Annual Meeting.
[serval:BIB_1B97B19329FD]
 
Exporting Contours to DICOM-RTSTRUCT
Gorthi S., Bach C.M., Thiran J.P., 2010. Kitware Newsletter 12 pp. 13-14.
[serval:BIB_F03021F52B92]
Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour
Gorthi S, Bach Cuadra M., Schick U., Tercier P.A., Allal A.S., Thiran J.P., 2010. dans MICCAI 2010, 13th International Conference on Medical Image Computing and Computer Assisted Intervention.
[URN][serval:BIB_A5FB5696300E]
Regional cortical volumes and congenital heart disease: a MRI study in 22q11.2 deletion syndrome.
Schaer M., Glaser B., Ottet M.C., Schneider M., Bach Cuadra M., Debbané M., Thiran J.P., Eliez S., 2010. Journal of Neurodevelopmental Disorders, 2 (4) pp. 224-234.
[URN][DOI][WoS][Pmid][serval:BIB_71363C97AA31]
2009
 
A multidimensional segmentation evaluation for medical image data.
Cárdenes R., de Luis-García R., Bach-Cuadra M., 2009. Computer Methods and Programs in Biomedicine, 96 (2) pp. 108-124.
[DOI][WoS][Pmid][serval:BIB_4B41FE89B911]
Active Contour-Based Segmentation of Head and Neck with Adaptive Atlas Selection
Gorthi S., Duay V., Bach Cuadra M., Tercier P.A., Allal A.S., Thiran J.P., 2009. dans MICCAI 2009, 12th International Conference on Medical Image Computing and Computer Assisted Intervention.
[URN][serval:BIB_C12E7053D4A5]
 
Brain tissue segmentation of fetal MR images
Bach Cuadra M., Schaer M., Andre A., Guibaud L., Eliez S., Thiran J.P., 2009. dans MICCAI 2009, 12th International Conference on Medical Image Computing and Computer Assisted Intervention.
[serval:BIB_4C9AF0C608CE]
 
Congenital heart disease affects local gyrification in 22q11.2 deletion syndrome.
Schaer M., Glaser B., Bach Cuadra M., Debbane M., Thiran J.P., Eliez S., 2009. Developmental Medicine and Child Neurology, 51 (9) pp. 746-753.
[DOI][WoS][Pmid][serval:BIB_49A437D0DAB3]
 
Deviant trajectories of cortical maturation in 22q11.2 deletion syndrome (22q11DS): a cross-sectional and longitudinal study.
Schaer M., Debbané M., Bach Cuadra M., Ottet M.C., Glaser B., Thiran J.P., Eliez S., 2009. Schizophrenia Research, 115 (2-3) pp. 182-190.
[DOI][WoS][Pmid][serval:BIB_8DEE3156A911]
Exporting Contours to DICOM-RT Structure Set
Gorthi S., Bach C.M., Thiran J.P., 2009. Insight Journal 1 pp. 1-18.
[URN][serval:BIB_A1376BE3F444]
 
How can physicians quantify brain degeneration?
Bach Cuadra M., Thiran J.P., Marques F., 2009. pp. 411-450 dans Dutoit T., Marques F. (eds.) Applied Signal Processing : a Matlab-Based Proof of Concept chap. 11, Springer.
[serval:BIB_D311C7BC2CFE]
 
Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning
Bach C.M.Gorthi Subrahmanyam , Karahanoglu F.I., Salvador F., Pica A., Do H.P., Balmer A., Munier F., Thiran J.P., 2009. dans VIPIMAGE 2011 - ECCOMAS 2nd Thematic Conference on Computational Vision and Medical Image Processing.
[serval:BIB_C45D09803C83]
 
Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration
Gorthi S., Duay V., Houhou N., Cuadra M.B., Schick U., Becker M., Allal A.S., Thiran J.P., 2009. IEEE Journal of Selected Topics in Signal Processing, 3 (1) pp. 135-147. Peer-reviewed.
[DOI][WoS][serval:BIB_C3DB1F3CCFAF]
2008
 
A surface-based approach to quantify local cortical gyrification.
Schaer M., Cuadra M.B., Tamarit L., Lazeyras F., Eliez S., Thiran J.P., 2008. IEEE Transactions on Medical Imaging, 27 (2) pp. 161-170.
[DOI][WoS][Pmid][serval:BIB_898D874535D4]
 
An active contour-based atlas registration model applied to automatic subthalamic nucleus targeting on MRI: method and validation.
Duay V., Bresson X., Castro J.S., Pollo C., Cuadra M.B., Thiran J.P., 2008. pp. 980-988 dans MICCAI 2008, 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science. Peer-reviewed.
[Pmid][serval:BIB_C0114D731F02]
 
Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic X-ray motion tracking
Zosso D., Le Callennec B., Bach C.M., Aminian K., Jolles B.M., Thiran J.P., 2008. pp. I9140-I9140 dans Medical Imaging 2008: Image Processing, Proceedings of SPIE.
[DOI][serval:BIB_A6A0ABD246D2]
 
Brain Surface Segmentation of Magnetic Resonance Images of the Fetus
Ferrario D., Bach C.M., Schaer M., Houhou N., Zosso D., Eliez S., Guibaud L., Thiran J.P., 2008. dans EUSIPCO 2008, 16th European Signal Processing Conference.
[serval:BIB_8F7B9DA93190]
 
Fast Bias Field Correction for 9.4 Tesla Magnetic Resonance Imaging
Pena X., Bach Cuadra M., Kunz N., Just N., Gruetter R., Thiran J.P., 2008. dans EUSIPCO 2008, 16th European Signal Processing Conference.
[serval:BIB_EFDD608138BE]
2007
Direct Fourier Tomographic Reconstruction Image-To-Image Filter
Zosso D., Bach C.M., Thiran J.P., 2007. Insight Journal, July-December pp. 1-13.
[URN][serval:BIB_8A09073B373A]
 
Multimodal evaluation for medical image segmentation
Cardenes R., Bach M., Chi Y., Marras I., de Luis R., Anderson M., Cashman P., Bultelle M., 2007. pp. 229-236 dans 12th International Conference on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science. Peer-reviewed.
[DOI][serval:BIB_427D132FE642]
Registration of Multiple Regions Derived from the Optical Flow Model and the Active Contour Framework
Duay V., Bresson X., Houhou N., Bach C.M., Thiran J.P., 2007. dans EUSIPCO 2007, 15th European Signal Processing Conference.
[URN][serval:BIB_0A548004D37E]
2006
 
A cross validation study of deep brain stimulation targeting: from experts to atlas-based, segmentation-based and automatic registration algorithms.
Castro F.J., Pollo C., Meuli R., Maeder P., Cuisenaire O., Cuadra M.B., Villemure J.G., Thiran J.P., 2006/11. Ieee Transactions On Medical Imaging, 25 (11) pp. 1440-1450.
[DOI][WoS][Pmid][serval:BIB_85C52D02A02D]
Dense Deformation Field Estimation for Atlas Registration using the Active Contour Framework
Duay V., Bach Cuadra M., Bresson X., Thiran J., 2006. dans 14th European Signal Processing Conference (EUSIPCO), Florence, Italy, September 2006.
[URN][serval:BIB_4D2FC40926DC]
 
Dense deformation field estimation for atlas-based segmentation of pathological MR brain images.
Bach Cuadra M., De Craene M., Duay V., Macq B., Pollo C., Thiran J.P., 2006. Computer Methods and Programs in Biomedicine, 84 (2-3) pp. 66-75.
[DOI][WoS][Pmid][serval:BIB_8195F4304A64]
2005
 
Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images.
Cuadra M.B., Cammoun L., Butz T., Cuisenaire O., Thiran J.P., 2005. Ieee Transactions On Medical Imaging, 24 (12) pp. 1548-1565.
[DOI][WoS][Pmid][serval:BIB_EC5BD1ED5E9E]
 
Cross validation of experts versus registration methods for target localization in deep brain stimulation.
Sánchez Castro F.J., Pollo C., Meuli R., Maeder P., Cuadra M.B., Cuisenaire O., Villemure J.G., Thiran J.P., 2005. Medical Image Computing and Computer-Assisted Intervention, 8 (1) pp. 417-424. Peer-reviewed.
[WoS][Pmid][serval:BIB_9C508CD26408]
Region-based Satellite Image Classification: Method and Validation
Gigandet X., Bach Cuadra M., Pointet A., Cammoun L., Caloz R., Thiran J., 2005. pp. III-832-III835 dans ICIP 2005, 12th IEEE International Conference on Image Processing, Proceedings of the International Conference on Image Processing.
[DOI][serval:BIB_552E48D7B010]
 
Segmentation of brain structures in presence of a space-occupying lesion.
Pollo C., Cuadra M.B., Cuisenaire O., Villemure J.G., Thiran J.P., 2005. Neuroimage, 24 (4) pp. 990-996.
[DOI][WoS][Pmid][serval:BIB_1479E8B1A123]
2004
 
Atlas-based segmentation of pathological MR brain images using a model of lesion growth.
Cuadra M.B., Pollo C., Bardera A., Cuisenaire O., Villemure J.G., Thiran J.P., 2004. Ieee Transactions On Medical Imaging, 23 (10) pp. 1301-1314.
[DOI][WoS][Pmid][serval:BIB_806EC2D7D712]
2003
 
Atlas-based segmentation of pathological brain MR images
Bach Cuadra M., Pollo C., Bardera A., Cuisenaire O., Villemure J., Thiran J., 2003. pp. 573-576 dans ICIP 2003, International Conference on Image Processing, Proceedings ICIP, IEEE International Conference on Image Processing.
[serval:BIB_5C917B02DD81]
2002
 
Validation of tissue modelization and classification techniques in T1-weighted MR brain images
Bach Cuadra M., Platel B., Solanas E., Butz T., Thiran J., 2002. pp. 290-297 dans MICCAI 2002, 5th International Conference on Medical Image Computing and Computer Assisted Intervention, Lecture Notes in Computer Science. Peer-reviewed.
[WoS][serval:BIB_DA6192F5C014]
2001
 
Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non rigid registration of an anatomical brain atlas
Bach Cuadra M., Cuisenaire O., Meuli R., Thiran J., 2001. pp. 1083-1086 dans ICIP 2001, International Conference on Image Processing, Proceedings ICIP, IEEE International Conference on Image Processing.
[serval:BIB_AFA3994AD663]
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