All LTS5 publications

2024

Theses

Inverse Problems in Pulse-Echo Ultrasound: Exploiting Coherence for Image Enhancement and Quantitative Imaging

S. D. Beuret / J-P. Thiran (Dir.)  

Lausanne, EPFL, 2024. 

Datasets

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

R. Vinals Terres; J-P. Thiran 

2024.

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)

R. Vinals Terres; J-P. Thiran 

2024.

2023

Journal Articles

Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI

T. E. Wallace; D. Piccini; T. Kober; S. K. Warfield; O. Afacan 

Magnetic Resonance In Medicine. 2023-11-06. Vol. 91, num. 3, p. 1057-1066. DOI : 10.1002/mrm.29899.

Successful MRI-Guided Focused Ultrasound Thalamotomy after Ipsilateral Gamma Knife Radiosurgery for Essential Tremor: A Case Report with Video

V. Fleury; D. Romascano; D. Schneider; C. Tuleasca; O. Lorton et al. 

Stereotactic And Functional Neurosurgery. 2023-11-02. Vol. 101, num. 6, p. 380-386. DOI : 10.1159/000534014.

Commentary: Single-Session Gamma Knife Radiosurgery for Patients With 20 or More Brain Metastases

A. Conti; M. Magnani; C. Tuleasca 

Neurosurgery. 2023-10-01. Vol. 93, num. 4, p. E93-E94. DOI : 10.1227/neu.0000000000002493.

Weakly supervised joint whole-slide segmentation and classification in prostate cancer

P. Pati; G. Jaume; Z. Ayadi; K. Thandiackal; B. Bozorgtabar et al. 

Medical Image Analysis. 2023-08-24. Vol. 89, p. 102915. DOI : 10.1016/j.media.2023.102915.

Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma

Z. Zhang; J. Liu; W. Wang; Y. Zhang; F. Qu et al. 

Frontiers In Oncology. 2023-07-26. Vol. 13, p. 1117148. DOI : 10.3389/fonc.2023.1117148.

High field brain proton magnetic resonance spectroscopy and volumetry in children with chronic, compensated liver disease-A pilot study

C. Cudalbu; L. Xin; B. Marechal; S. Lachat; F. Zangas-Gheri et al. 

Analytical Biochemistry. 2023-07-04. Vol. 675, p. 115212. DOI : 10.1016/j.ab.2023.115212.

Markers of limbic system damage following SARS-CoV-2 infection

M. Thomasson; P. Voruz; A. Cionca; I. J. de Alcantara; A. Nuber-Champier et al. 

Brain Communications. 2023-07-01. Vol. 5, num. 4, p. fcad177. DOI : 10.1093/braincomms/fcad177.

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

G. Girard; J. Rafael-Patinob; R. Truffet; D. B. Aydogan; N. Adluruh et al. 

Neuroimage. 2023-06-28. Vol. 277, p. 120231. DOI : 10.1016/j.neuroimage.2023.120231.

Widespread intra-axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical features and pharmacologic treatment

E. J. Canales-Rodriguez; N. Verdolini; S. Alonso-Lana; M. L. Torres; F. Panicalli et al. 

Human Brain Mapping. 2023-06-26. DOI : 10.1002/hbm.26405.

Cortical alterations after very preterm birth and the association with socio-emotional abilities from childhood to early adolescence

V. Siffredi; M. C. Liverani; C. Borradori-Tolsa; R. Hà-Vinh Leuchter; J-P. Thiran et al. 

Cerebral Cortex. 2023-06-09. Vol. 187, p. 1-13. DOI : 10.1093/cercor/bhad187.

Cellular EXchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres

R. M. M. Gardier; J. L. Villarreal Haro; E. J. Canales Rodriguez; I. Jelescu; G. Girard et al. 

Magnetic Resonance in Medicine. 2023-06-06.  p. 1-16. DOI : 10.1002/mrm.29720.

‘connEcted caesarean section’: creating a virtual link between MOthers and their infanTs to ImprOve maternal childbirth experieNce – study protocol for a PILOT trial (e-motion-pilot)

F. Corbaz; E. Boussac; K. Lepigeon; D. G. Dias; S. Marcadent et al. 

Bmj Open. 2023-06-01. Vol. 13, num. 6, p. e065830. DOI : 10.1136/bmjopen-2022-065830.

Brain morphometry in older adults with and without dementia using extremely rapid structural scans

M. L. Eliott; L. C. Hanford; A. Hamadeh; T. Hilbert; T. Kober et al. 

Neuroimage. 2023-05-29. Vol. 276, p. 120173. DOI : 10.1016/j.neuroimage.2023.120173.

Accurate Diagnosis of Cortical and Infratentorial Lesions in Multiple Sclerosis Using Accelerated Fluid and White Matter Suppression Imaging

A. Martin; T. Emorine; I. Megdiche; A. Creange; T. Kober et al. 

Investigative Radiology. 2023-05-01. Vol. 58, num. 5, p. 337-345. DOI : 10.1097/RLI.0000000000000939.

Clinical feasibility and validation of the accelerated T2 mapping sequence GRAPPATINI in brain imaging

N. Gruenebach; M. A. A. Mercado; N. F. Grauhan; A. Sanner; A. Kronfeld et al. 

Heliyon. 2023-04-01. Vol. 9, num. 4, p. e15064. DOI : 10.1016/j.heliyon.2023.e15064.

Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI

M. Pizzolato; E. J. Canales-Rodriguez; M. Andersson; T. B. Dyrby 

Medical Image Analysis. 2023-03-01. Vol. 86, p. 102767. DOI : 10.1016/j.media.2023.102767.

Telecytologic diagnosis of cervical smears for triage of self-sampled human papillomavirus–positive women in a resource-limited setting: concept development before implementation

P. Vassilakos; H. Clarke; M. Murtas; T. G. Stegmüller; A. Wisniak et al. 

Journal of the American Society of Cytopathology. 2023. Vol. 12, num. 3, p. 170-180. DOI : 10.1016/j.jasc.2023.02.001.

Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer

G. M. G. Vray; D. Tomar; B. Bozorgtabar; J-P. Thiran 

2023.  p. 1-11.

Conference Papers

Deep multiple sclerosis lesion phenotyping using multimodal quantitative MRI

G. Boffa; S. Schiavi; F. Tazza; C. Lapucci; G. F. Piredda et al. 

2023-10-01. 9th Joint ECTRIMS-ACTRIMS meeting, Milan, ITALY, OCT 11-13, 2023. p. 273-274.

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification

D. Mahapatra; A. J. J. Yepes; S. Kuanar; S. Roy; B. Bozorgtabar et al. 

2023-01-01. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, CANADA, OCT 08-12, 2023. p. 276-286. DOI : 10.1007/978-3-031-43895-0_26.

Why is the winner the best?

M. Eisenmann; A. Reinke; V. Weru; M. D. Tizabi; F. Isensee et al. 

2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 19955-19966. DOI : 10.1109/CVPR52729.2023.01911.

SAGTTA: SALIENCY GUIDED TEST TIME AUGMENTATION FOR MEDICAL IMAGE SEGMENTATION ACROSS VENDOR DOMAIN SHIFT

S. You; D. Tomar; B. Bozorgtabar; M. Reyes 

2023-01-01. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, COLOMBIA, APR 18-21, 2023. DOI : 10.1109/ISBI53787.2023.10230764.

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning

T. Lebailly; T. G. Stegmüller; B. Bozorgtabar; J-P. Thiran; T. Tuytelaars 

2023. International Conference on Computer Vision (ICCV2023), Paris, France, October 2-6, 2023.

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning

T. G. Stegmüller; T. Lebailly; B. Bozorgtabar; T. Tuytelaars; J-P. Thiran 

2023-01-01. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023), Vancouver, Canada, JUN 17-24, 2023. p. 7000-7009. DOI : 10.1109/CVPR52729.2023.00676.

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

D. Tomar; G. M. G. Vray; B. Bozorgtabar; J-P. Thiran 

2023. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada, June 18-22, 2023.

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

T. Stegmuller; B. Bozorgtabar; A. Spahr; J-P. Thiran 

2023-01-01. 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, HI, Jan 03-07, 2023. p. 6159-6168. DOI : 10.1109/WACV56688.2023.00611.

Reviews

Single fraction and hypofractionated radiosurgery for perioptic meningiomas-tumor control and visual outcomes: a systematic review and meta-analysis

D. R. Peters; A. Asher; A. Conti; L. Schiappacasse; R. T. Daniel et al. 

Neurosurgical Review. 2023-10-28. Vol. 46, num. 1, p. 287. DOI : 10.1007/s10143-023-02197-9.

Single-fraction radiosurgery outcomes for large vestibular schwannomas in the upfront or post-surgical setting: a systematic review and International Stereotactic Radiosurgery Society (ISRS) Practice Guidelines

C. Tuleasca; R. Kotecha; A. Sahgal; A. de Salles; L. Fariselli et al. 

Journal Of Neuro-Oncology. 2023-10-16. Vol. 165, num. 1, p. 1-20. DOI : 10.1007/s11060-023-04455-8.

Proton beam radiation therapy for vestibular schwannomas-tumor control and hearing preservation rates: a systematic review and meta-analysis

A. Santacroce; M-F. Trandafirescu; M. Levivier; D. Peters; C. Fuerweger et al. 

Neurosurgical Review. 2023-07-04. Vol. 46, num. 1, p. 163. DOI : 10.1007/s10143-023-02060-x.

Morphological assessment of cartilage and osteoarthritis in clinical practice and research: Intermediate-weighted fat-suppressed sequences and beyond

P. Omoumi; C. Mourad; J-B. Ledoux; T. Hilbert 

Skeletal Radiology. 2023-05-08. DOI : 10.1007/s00256-023-04343-2.

Synthetic Contrasts in Musculoskeletal MRI A Review

T. Hilbert; P. Omoumi; M. Raudner; T. Kober 

Investigative Radiology. 2023-01-01. Vol. 58, num. 1, p. 111-119. DOI : 10.1097/RLI.0000000000000917.

Theses

Self-Supervised Learning for Patient Stratification and Survival Analysis in Computational Pathology: An Application to Colorectal Cancer

C. R. Abbet / J-P. Thiran; I. Zlobec (Dir.)  

Lausanne, EPFL, 2023. 

2022

Journal Articles

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

F. Wang; S. Zhou; B. Hou; F. Santini; L. Yuan et al. 

European Radiology. 2022-11-18. DOI : 10.1007/s00330-022-09254-9.

Cerebral Metabolic Dysfunction at the Acute Phase of Traumatic Brain Injury Correlates with Long-Term Tissue Loss

A. Bernini; S. Magnoni; J-P. Miroz; R. Corredor-Jerez; G. Bertolini et al. 

Journal Of Neurotrauma. 2022-11-04. DOI : 10.1089/neu.2022.0161.

Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A of derived brain volume measurements

P. M. Ferraro; L. Gualco; M. Costagli; S. Schiavi; M. Ponzano et al. 

Physica Medica-European Journal Of Medical Physics. 2022-11-01. Vol. 103, p. 166-174. DOI : 10.1016/j.ejmp.2022.10.023.

Real-time shimming with FID navigators

T. E. Wallace; T. Kober; J. P. Stockmann; J. R. Polimeni; S. K. Warfield et al. 

Magnetic Resonance In Medicine. 2022-09-12. Vol. 88, num. 6, p. 2548-2563. DOI : 10.1002/mrm.29421.

Prospective motion correction in kidney MRI using FID navigators

C. Ariyurek; T. E. Wallace; T. Kober; S. Kurugol; O. Afacan 

Magnetic Resonance In Medicine. 2022-09-05. DOI : 10.1002/mrm.29424.

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

T. Emorine; I. Megdiche; P. Brugieres; A. Creange; T. Kober et al. 

Investigative Radiology. 2022-09-01. Vol. 57, num. 9, p. 575-584. DOI : 10.1097/RLI.0000000000000874.

Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence

F. Bogusz; T. Pieciak; M. Afzali; M. Pizzolato 

Magnetic Resonance Imaging. 2022-09-01. Vol. 91, p. 52-61. DOI : 10.1016/j.mri.2022.05.007.

A multi-scale probabilistic atlas of the human connectome

Y. Aleman-Gomez; A. Griffa; J-C. Houde; E. Najdenovska; S. Magon et al. 

Scientific Data. 2022-08-23. Vol. 9, num. 1, p. 516. DOI : 10.1038/s41597-022-01624-8.

Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions

E. Fischi Gomez; G. Girard; P. J. Koch; T. Yu; M. Pizzolato et al. 

Frontiers in Radiology. 2022-07-28. DOI : 10.3389/fradi.2022.930666.

Text as signal. A tutorial with case studies focusing on social media (Twitter)

E. Mayor; L. M. Bietti; E. J. Canales-Rodriguez 

Behavior Research Methods. 2022-07-25. DOI : 10.3758/s13428-022-01917-1.

Comparison of T2 Quantification Strategies in the Abdominal-Pelvic Region for Clinical Use

R. Draveny; K. Ambarki; F. Han; T. Hilbert; V. Laurent et al. 

Investigative Radiology. 2022-06-01. Vol. 57, num. 6, p. 412-421. DOI : 10.1097/RLI.0000000000000852.

Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain

H. Kebiri; E. J. Canales-Rodriguez; H. Lajous; P. de Dumast; G. Girard et al. 

Frontiers In Neurology. 2022-05-02. Vol. 13, p. 827816. DOI : 10.3389/fneur.2022.827816.

T2 mapping for the characterization of prostate lesions

T. Hepp; L. Kalmbach; M. Kolb; P. Martirosian; T. Hilbert et al. 

World Journal Of Urology. 2022-03-31. Vol. 40, p. 1455–1461. DOI : 10.1007/s00345-022-03991-8.

NPTX1-related oculomotor apraxia: an intra-hemispheric disconnection disorder

C. Helmchen; P. J. Koch; G. Girard; N. Bruggemann; B. Machner et al. 

Journal Of Neurology. 2022-03-14. Vol. 269, p. 3931–3936. DOI : 10.1007/s00415-022-11057-3.

Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures?

M. Andersson; M. Pizzolato; H. M. Kjer; K. F. Skodborg; H. Lundell et al. 

Neuroimage. 2022-03-01. Vol. 248, p. 118718. DOI : 10.1016/j.neuroimage.2021.118718.

Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers

D. M. Sima; M. Bach Cuadra; T. B. Dyrby; K. Van Leemput 

Frontiers In Neuroscience. 2022-02-18. Vol. 16, p. 841807. DOI : 10.3389/fnins.2022.841807.

Value of T-2 Mapping MRI for Prostate Cancer Detection and Classification

M. Klingebiel; L. Schimmoeller; E. Weiland; T. Franiel; K. Jannusch et al. 

Journal Of Magnetic Resonance Imaging. 2022-01-17. Vol. 56, num. 2, p. 413-422. DOI : 10.1002/jmri.28061.

BMAT: An open-source BIDS managing and analysis tool

C. Vanden Bulcke; M. Wynen; J. Detobel; F. La Rosa; M. Absinta et al. 

Neuroimage-Clinical. 2022-01-01. Vol. 36, p. 103252. DOI : 10.1016/j.nicl.2022.103252.

Microstructure estimation from diffusion-MRI: Compartmentalized models in permeable cellular tissue

R. M. M. Gardier; J. L. Villarreal Haro; E. J. Canales Rodriguez; I. Jelescu; G. Girard et al. 

2022. DOI : 10.48550/arXiv.2209.02293.

Cortical and subcortical changes in resting-state neuronal activity and connectivity in early symptomatic ALS and advanced frontotemporal dementia

R. Govaarts; E. Beeldman; M. Fraschini; A. Griffa; M. M. A. Engels et al. 

Neuroimage-Clinical. 2022-01-01. Vol. 34, p. 102965. DOI : 10.1016/j.nicl.2022.102965.

Simultaneous 3D acquisition of H-1 MRF and Na-23 MRI

Z. Yu; S. Hodono; O. Dergachyova; T. Hilbert; B. Wang et al. 

Magnetic Resonance In Medicine. 2022. Vol. 87, num. 5, p. 2299-2312. DOI : 10.1002/mrm.29135.

Q-Dixon and GRAPPATINI T2 Mapping Parameters: A Whole Spinal Assessment of the Relationship Between Osteoporosis and Intervertebral Disc Degeneration

X. Li; Y. Xie; R. Lu; Y. Zhang; Q. Li et al. 

Journal Of Magnetic Resonance Imaging. 2022. Vol. 55, num. 5, p. 1536-1546. DOI : 10.1002/jmri.27959.

Conference Papers

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

D. Tomar; G. M. G. Vray; B. Bozorgtabar; J-P. Thiran 

2022. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, July 6-8, 2022. p. 1192-1217.

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders

H. Kebiri; G. Girard; Y. Aleman-Gomez; T. Yu; A. Jakab et al. 

2022-01-01. 13th International Workshop on Computational Diffusion MRI (CDMRI), Singapore, SINGAPORE, Sep 22, 2022. p. 3-13. DOI : 10.1007/978-3-031-21206-2_1.

Natural-Looking Adversarial Examples From Freehand Sketches

H. G. Kim; D. Nanni; S. Suesstrunk 

2022-01-01. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, SINGAPORE, May 22-27, 2022. p. 3723-3727. DOI : 10.1109/ICASSP43922.2022.9747480.

Reviews

Smartphone-Based Visual Inspection with Acetic Acid: An Innovative Tool to Improve Cervical Cancer Screening in Low-Resource Setting

J. Sami; S. L. Makajio; E. Jeannot; B. Kenfack; R. Vinals et al. 

Healthcare. 2022-02-01. Vol. 10, num. 2, p. 391. DOI : 10.3390/healthcare10020391.

The functional characterization of callosal connections

G. M. Innocenti; K. Schmidt; C. Milleret; M. Fabri; M. G. Knyazeva et al. 

Progress In Neurobiology. 2022-01-01. Vol. 208, p. 102186. DOI : 10.1016/j.pneurobio.2021.102186.

What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

C. R. K. Ching; D. P. Hibar; T. P. Gurholt; A. Nunes; S. I. Thomopoulos et al. 

Human Brain Mapping. 2022. Vol. 43, num. 1, p. 56-82. DOI : 10.1002/hbm.25098.

Theses

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

T. Yu / J-P. Thiran; M. Bach Cuadra (Dir.)  

Lausanne, EPFL, 2022. 

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

F. La Rosa / J-P. Thiran; M. Bach Cuadra (Dir.)  

Lausanne, EPFL, 2022. 

Graph Representation Learning in Computational Pathology

G. Jaume / J-P. Thiran; M. Gabrani (Dir.)  

Lausanne, EPFL, 2022. 

Posters

Towards a high-density packing white matter substrate generator for Monte-Carlo simulations

J. L. Villarreal Haro; R. M. M. Gardier; E. J. Canales Rodriguez; G. Girard; J-P. Thiran et al. 

2022 Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, England, UK, May, 07-12, 2022.

Estimation of numerical substrate properties with compartmentalized models from Monte-Carlo simulated DW-MRI signals

R. M. M. Gardier; J. L. Villarreal Haro; E. J. Canales Rodriguez; G. Girard; J. R. Patino Lopez et al. 

Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, England, UK, 07-12 May 2022.

2021

Journal Articles

Data-driven myelin water imaging based on T-1 and T-2 relaxometry

G. F. Piredda; T. Hilbert; V. Ravano; E. J. Canales-Rodriguez; M. Pizzolato et al. 

Nmr In Biomedicine. 2021-12-22.  p. e4668. DOI : 10.1002/nbm.4668.

Revisiting the T-2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares

E. J. Canales-Rodriguez; M. Pizzolato; T. Yu; G. F. Piredda; T. Hilbert et al. 

Neuroimage. 2021-12-01. Vol. 244, p. 118582. DOI : 10.1016/j.neuroimage.2021.118582.

Synthetic T-2-weighted images of the lumbar spine derived from an accelerated T-2 mapping sequence: Comparison to conventional T(2)w turbo spin echo

M. Raudner; D. F. Toth; M. M. Schreiner; T. Hilbert; T. Kober et al. 

Magnetic Resonance Imaging. 2021-12-01. Vol. 84, p. 92-100. DOI : 10.1016/j.mri.2021.09.011.

Additive and interaction effects of working memory and motor sequence training on brain functional connectivity

P. Zuber; L. Gaetano; A. Griffa; M. Huerbin; L. Pedulla et al. 

Scientific Reports. 2021-11-29. Vol. 11, num. 1, p. 23089. DOI : 10.1038/s41598-021-02492-9.

Magnetoencephalography Brain Signatures Relate to Cognition and Cognitive Reserve in the Oldest-Old: The EMIF-AD 90+Study

A. Griffa; N. Legdeur; M. Badissi; M. P. van den Heuvel; C. J. Stam et al. 

Frontiers In Aging Neuroscience. 2021-11-25. Vol. 13, p. 746373. DOI : 10.3389/fnagi.2021.746373.

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

K. G. Schilling; F. Rheault; L. Petit; C. B. Hansen; V. Nath et al. 

Neuroimage. 2021-11-01. Vol. 243, p. 118502. DOI : 10.1016/j.neuroimage.2021.118502.

C-reactive protein and white matter microstructural changes in COVID-19 patients with encephalopathy

A. Rhally; A. Griffa; S. Kremer; M. Uginet; G. Breville et al. 

Journal Of Neural Transmission. 2021-10-28. Vol. 128, num. 12, p. 1899-1906. DOI : 10.1007/s00702-021-02429-6.

The diffusion-simulated connectivity (DiSCo) dataset

J. Rafael-Patino; G. Girard; R. Truffet; M. Pizzolato; E. Caruyer et al. 

Data In Brief. 2021-10-01. Vol. 38, p. 107429. DOI : 10.1016/j.dib.2021.107429.

Gamma Knife radiosurgery as salvage therapy for gangliogliomas after initial microsurgical resection

C. Tuleasca; I. Peciu-Florianu; V. Enora; N. Reyns 

Journal Of Clinical Neuroscience. 2021-10-01. Vol. 92, p. 98-102. DOI : 10.1016/j.jocn.2021.07.059.

Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study

V. Ravano; M. Andelova; M. J. Fartaria; M. F. -W. Mahdi; B. M. Maréchal Mortamet et al. 

NeuroImage: Clinical. 2021-09-02. Vol. 32, p. 102817. DOI : 10.1016/j.nicl.2021.102817.

Ultrahigh field in vivo characterization of microstructural abnormalities in the orbitofrontal cortex and amygdala in autism

E. Fischi-Gomez; G. Bonnier; N. Ward; C. Granziera; N. Hadjikhani 

European Journal Of Neuroscience. 2021-08-19. Vol. 54, num. 6, p. 6229-6236. DOI : 10.1111/ejn.15420.

Surgical management of anterior clinoidal meningiomas: consensus statement on behalf of the EANS skull base section

D. Starnoni; C. Tuleasca; L. Giammattei; G. Cossu; M. Bruneau et al. 

Acta Neurochirurgica. 2021-08-16. Vol. 163, p. 3387–3400. DOI : 10.1007/s00701-021-04964-3.

Clinical correlates of white matter lesions in Parkinson’s disease using automated multi-modal segmentation measures

E. Fang; M. J. Fartaria; C. N. Ann; B. Marechal; T. Kober et al. 

Journal Of The Neurological Sciences. 2021-08-15. Vol. 427, p. 117518. DOI : 10.1016/j.jns.2021.117518.

Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis

P. Maggi; J. Kuhle; S. Schadelin; F. van der Meer; M. Weigel et al. 

Neurology. 2021-08-10. Vol. 97, num. 6, p. E543-E553. DOI : 10.1212/WNL.0000000000012326.

Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study

M. Khawam; P. de Dumast; P. Deman; H. Kebiri; T. Yu et al. 

Frontiers In Pediatrics. 2021-08-10. Vol. 9, p. 639746. DOI : 10.3389/fped.2021.639746.

Measuring compartmental T-2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T-2 correlation MRI

C. M. W. Tax; E. Kleban; M. Chamberland; M. Barakovic; U. Rudrapatna et al. 

Neuroimage. 2021-08-01. Vol. 236, p. 117967. DOI : 10.1016/j.neuroimage.2021.117967.

The Complex Hodological Architecture of the Macaque Dorsal Intraparietal Areas as Emerging from Neural Tracers and DW-MRI Tractography

R. Caminiti; G. Girard; A. Battaglia-Mayer; E. Borra; A. Schito et al. 

Eneuro. 2021-07-01. Vol. 8, num. 4, p. 0102-21.2021. DOI : 10.1523/ENEURO.0102-21.2021.

Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts

M. Barakovic; G. Girard; S. Schiavi; D. Romascano; M. Descoteaux et al. 

Frontiers in Neuroscience. 2021-06-15. Vol. 15. DOI : 10.3389/fnins.2021.646034.

Age- and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

E. J. Canales Rodriguez; S. Alonso-Lana; N. Verdolini; S. Sarró; I. Feria et al. 

Neurobiology of Aging. 2021-06-10. Vol. 106, p. 68-79. DOI : 10.1016/j.neurobiolaging.2021.06.002.

Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging

R. Rahmanzadeh; P-J. Lu; M. Barakovic; M. Weigel; P. Maggi et al. 

Brain. 2021-06-01. Vol. 144, p. 1684-1696. DOI : 10.1093/brain/awab088.

Disconnectomics of the Rich Club Impacts Motor Recovery After Stroke

P. Egger; G. G. Evangelista; P. J. Koch; C-H. Park; L. Levin-Gleba et al. 

Stroke. 2021-06-01. Vol. 52, num. 6, p. 2115-2124. DOI : 10.1161/STROKEAHA.120.031541.

Improving diagnosis accuracy of brain volume abnormalities during childhood with an automated MP2RAGE-based MRI brain segmentation

M. Serru; B. Marechal; T. Kober; L. Ribier; C. S. Taveau et al. 

Journal Of Neuroradiology. 2021-06-01. Vol. 48, num. 4, p. 259-265. DOI : 10.1016/j.neurad.2019.06.005.

Conference Papers

Leman-PV as a clinical decision-support tool to assess MS activity: a multicentric longitudinal study at 1.5T and 3T MRI

R. -A. Todea; L. Melie-Garcia; M. Barakovic; N. Siebenborn; R. Rahmanzadeh et al. 

2021-10-01.  p. 456-457.

Automated detection of cortical lesions with single and multi-contrast 7T MRI

F. La Rosa; E. S. Beck; J. Maranzano; J. -P. Thiran; C. Granziera et al. 

2021-10-01.  p. 458-459.

Cortical lesion detection using FLAWS in multiple sclerosis

J. Muller; R. Rahmanzadeh; C. Tsagkas; M. Barakovic; P. -J. Lu et al. 

2021-10-01.  p. 433-434.

An assessment of intra-scanner reproducibility of myelin-sensitive MRI measures

R. Rahmanzadeh; M. Weigel; P. -J. Lu; L. Melie-Garcia; T. D. Nguyen et al. 

2021-10-01.  p. 430-431.

Toward fully automated assessment of the central vein sign using deep learning

T. Huelnhagen; O. Al Louzi; M. J. Fartaria; L. Daboul; D. S. Reich et al. 

2021-10-01.  p. 461-462.

T-1 relaxometry abnormalities in white matter tracts predict functional systems scores in MS

V. Ravano; G. F. Piredda; M. Vaneckova; J. Krasensky; M. Andelova et al. 

2021-10-01.  p. 392-392.

Periventricular gradients of T-1 z-scores correlate with disability in early multiple sclerosis

M. Vaneckova; G. F. Piredda; M. Andelova; J. Krasensky; T. Uher et al. 

2021-10-01.  p. 466-467.

CLaiMS-Net: cortical lesions assessment in multiple sclerosis patients via a convolutional neural network and a single 3T MRI acquisition

F. La Rosa; P. -J. Lu; R. Rahmanzadeh; A. Cagol; M. Barakovic et al. 

2021-10-01.  p. 457-458.

Reviews

Structural brain correlates in major depression, anxiety disorders and post-traumatic stress disorder: A voxel-based morphometry meta-analysis

M. Serra-Blasco; J. Radua; C. Soriano-Mas; A. G. Benlloch; D. Porta-Caster et al. 

Neuroscience And Biobehavioral Reviews. 2021-10-01. Vol. 129, p. 269-281. DOI : 10.1016/j.neubiorev.2021.07.002.

Cortical Surfaces Integration with Tractography for Structural Connectivity Analysis

E. St-Onge; N. Al-Sharif; G. Girard; G. Theaud; M. Descoteaux 

Brain Connectivity. 2021-09-01. Vol. 11, num. 7, p. 505-517. DOI : 10.1089/brain.2020.0930.