Complete list of publications can be found in SERVAL, GoogleScholar or ORCID. Here below the latest published articles are displayed.
Serval - Bach Cuadra M. Flux Atom provenant de Serval.
- Letter to the Editor. Resting-state functional MRI for functional neurosurgery: seeing the light?on 27 May 2023 at 4:50
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]
- Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T.on 16 May 2023 at 4:55
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]
- Development and validation of robust MR image reconstruction and segmentation techniques for the quantitative analysis of the fetal brainon 15 May 2023 at 8:52
Development and validation of robust MR image reconstruction and segmentation techniques for the quantitative analysis of the fetal brainGuerrier de Dumast Priscille, 2023., Université de Lausanne, Faculté de biologie et médecine, Bach Cuadra Meritxell (dir.).[URN][serval:BIB_F3F67E24C1DE]
- Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE.on 14 March 2023 at 5:49
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]
- Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge.on 1 March 2023 at 5:47
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]
- A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects.on 15 February 2023 at 5:53
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]
- Multimodal Magnetic Resonance Imaging Depicts Widespread and Subregion Specific Anomalies in the Thalamus of Early-Psychosis and Chronic Schizophrenia Patients.on 19 January 2023 at 5:54
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]
- Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers.on 23 November 2022 at 6:15
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]
- A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN).on 23 November 2022 at 6:13
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]
- Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis.on 21 November 2022 at 7:31
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]
- GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology.on 21 November 2022 at 7:30
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]
- T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitionson 21 November 2022 at 7:27
T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance AcquisitionsLajous 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 […]
- Automated fetal brain segmentation of 2D magnetic resonance images: transfer learning and 3D topology correctionon 21 November 2022 at 7:21
Automated fetal brain segmentation of 2D magnetic resonance images: transfer learning and 3D topology correctionKebiri 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]
- RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.on 21 November 2022 at 7:20
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]
- Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophreniaon 21 November 2022 at 7:10
Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophreniaAlemán-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. […]
- Model-informed machine learning for multi-component T2 relaxometry.on 21 November 2022 at 7:09
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]
- Transfer learning with weak labels from radiology reports: application to glioma change detectionon 21 October 2022 at 4:40
Transfer learning with weak labels from radiology reports: application to glioma change detectionDi Noto Tommaso, Bach Cuadra Meritxell, Atat Chirine, Gamito Teiga Eduardo, Hegi Monika, Hottinger Andreas, Hagmann Patric, Richiardi Jonas, 2022. arxiv.[serval:BIB_9CC85EE111CA]
- A multi-scale probabilistic atlas of the human connectome.on 13 September 2022 at 4:40
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.[DOI][WoS][Pmid][serval:BIB_493CEE0FC93E]
- Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.on 21 July 2022 at 4:35
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.[DOI][WoS][Pmid][serval:BIB_AA2BF0088C38]
- An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labelson 20 July 2022 at 5:13
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak LabelsDi 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]
- Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain.on 20 July 2022 at 4:37
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]
- Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classificationon 8 June 2022 at 4:36
Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classificationDi 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 […]
- Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantomon 1 June 2022 at 4:39
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber PhantomKebiri 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 […]
- Ophthalmic Magnetic Resonance Imaging: Where Are We (Heading To)?on 8 March 2022 at 5:33
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]
- Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma.on 12 January 2022 at 6:10
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]
- 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.on 12 January 2022 at 6:10
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. […]
- Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging.on 12 January 2022 at 6:08
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]
- Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study.on 4 September 2021 at 5:08
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]
- An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset.on 26 August 2021 at 5:10
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]
- Fetal brain biometrics: comparison of 2D T2-weighted and 3D volumetric super-resolution magnetic resonance imagingon 26 August 2021 at 5:09
Fetal brain biometrics: comparison of 2D T2-weighted and 3D volumetric super-resolution magnetic resonance imagingKhawam 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 environmenton 21 August 2021 at 5:08
Translating fetal brain magnetic resonance image super-resolution reconstruction into the clinical environmentde 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]
- 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.on 16 July 2021 at 4:36
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. […]
- Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correctionon 30 May 2021 at 5:13
Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correctionDeprez 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]
- MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.on 29 May 2021 at 4:32
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]
- Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics.on 21 May 2021 at 5:11
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]
- Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T.on 30 April 2021 at 5:14
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]
- Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes.on 30 April 2021 at 5:09
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]
- CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.on 1 April 2021 at 5:08
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]
- A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation mapson 6 February 2021 at 6:10
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation mapsNguyen 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 […]
- Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRIon 6 February 2021 at 6:09
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRILa 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. […]
- Longitudinal analysis of white matter and cortical lesions in multiple sclerosis.on 15 January 2021 at 6:08
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]
- Episodic memory decline in Parkinson' s disease: relation with white matter hyperintense lesions and influence of quantification method.on 13 January 2021 at 6:09
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]
- Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitionson 5 January 2021 at 5:26
Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance AcquisitionsLajous Hélène, Ledoux Jean-Baptiste, Hilbert Tom, van Heeswijk Ruud B., Bach Cuadra Meritxell, 2020/10/12..[DOI][serval:BIB_36F6C59AC463]
- In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.on 20 August 2019 at 15:21
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]
- Partial volume-aware assessment of multiple sclerosis lesions.on 20 August 2019 at 14:44
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]
- Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma.on 20 August 2019 at 14:05
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.[DOI][WoS][Pmid][serval:BIB_9F44E08CE265]
- PARTIAL.VOTUME AWARE TESION SEGMENTATION IN MUTTIPLE SCLEROSIS : NEW IMAGE ANATYSIS METHODS FOR HIGH AND ULTRA.HIGH IIETD MRIon 20 August 2019 at 13:54
PARTIAL.VOTUME AWARE TESION SEGMENTATION IN MUTTIPLE SCLEROSIS : NEW IMAGE ANATYSIS METHODS FOR HIGH AND ULTRA.HIGH IIETD MRIFartaria Mário João, 2018., Université de Lausanne, Faculté de biologie et médecine, Granziera Cristlna (dir.).[serval:BIB_90BA54C1D70C]
- Multi-modal MR Image Processing at High Field for Thalamic Nuclei Segmentation: Application to Gamma Knife Surgeryon 20 August 2019 at 13:35
Multi-modal MR Image Processing at High Field for Thalamic Nuclei Segmentation: Application to Gamma Knife SurgeryNajdenovska Elena, 2018/03/01., Université de Lausanne, Faculté de biologie et médecine, Levivier Marc (dir.).[URN][serval:BIB_7983F1D18D96]
- GAMMA KNIFE RADIOSURGERY OF THE VIM: FROM THE LESIONAL EFFECT TOWARDS NEUROMODULATIONon 20 August 2019 at 13:29
GAMMA KNIFE RADIOSURGERY OF THE VIM: FROM THE LESIONAL EFFECT TOWARDS NEUROMODULATIONTuleasca Constantin, 2018., Université de Lausanne, Faculté de biologie et médecine, Levivier Marc (dir.).[URN][serval:BIB_70ADEF95A646]
- Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE.on 20 August 2019 at 11:31
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]