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20172025
most citedSelf-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation

106 citations · 294 across the 22 of their papers we have counts for

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9 papers · 1 filter

eess.IV202211 cited

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues

Francesco La Rosa, Maxence Wynen, Omar Al-Louzi +11

The current multiple sclerosis (MS) diagnostic criteria lack specificity, and this may lead to misdiagnosis, which remains an issue in present-day clinical practice. In addition, c…

eess.IV2021

Multi-compartment diffusion MRI, T2 relaxometry and myelin water imaging as neuroimaging descriptors for anomalous tissue detection

Elda Fischi-Gomez, Jonathan Rafael-Patino, Marco Pizzolato +5

Multiple sclerosis (MS) is an inflammatory and neurodegenerative disease characterized by diffuse and focal areas of tissue loss. Conventional MRI techniques such as T1-weighted an…

eess.IV2020

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning

Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray +1

Deep anomaly detection models using a supervised mode of learning usually work under a closed set assumption and suffer from overfitting to previously seen rare anomalies at traini…

eess.IV2020

CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking

Dimitris Perdios, Manuel Vonlanthen, Florian Martinez +2

Thanks to its capability of acquiring full-view frames at multiple kilohertz, ultrafast ultrasound imaging unlocked the analysis of rapidly changing physical phenomena in the human…

eess.IV2020

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI

Francesco La Rosa, Erin S Beck, Ahmed Abdulkadir +4

The automated detection of cortical lesions (CLs) in patients with multiple sclerosis (MS) is a challenging task that, despite its clinical relevance, has received very little atte…

eess.IV2020

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions

Hélène Lajous, Tom Hilbert, Christopher W. Roy +12

Relaxometry studies in preterm and at-term newborns have provided insight into brain microstructure, thus opening new avenues for studying normal brain development and supporting d…