5 papers
Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models
Md Raisul Kibria, Sébastien Lafond, Janan Arslan
Multimodal learning has witnessed remarkable advancements in recent years, particularly with the integration of attention-based models, leading to significant performance gains acr…
CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
Bashir Alam, Masa Cirkovic, Mete Harun Akcay +6
Imbalanced datasets pose a considerable challenge in training deep learning (DL) models for medical diagnostics, particularly for segmentation tasks. Imbalance may be associated wi…
SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
Soumick Chatterjee, Hendrik Mattern, Marc Dörner +45
The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesoscopic scale, represents a critical vulne…
Know Their Name: An Anthology of Great Women in the Shadows
Janan Arslan, Sepinoud Azimi, Lina Sami +6
There has been a long history of women innovators producing outstanding contributions to society and public benefit yet having their work passed over or sidelined or attributed to…
PyCellMech: A shape-based feature extraction pipeline for use in medical and biological studies
Janan Arslan, Henri Chhoa, Ines Khemir +2
Summary: Medical researchers obtain knowledge about the prevention and treatment of disability and disease using physical measurements and image data. To assist in this endeavor, f…