1 citations · 1 across the 4 of their papers we have counts for
4 papers
MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs
Md Rakibul Haque, KM Arefeen Sultan, Tushar Kataria +1
While medical Vision-Language models (VLMs) achieve strong performance on tasks such as tumor or organ segmentation and diagnosis prediction, their opaque latent representations li…
AC-MIL: Weakly Supervised Atrial LGE-MRI Quality Assessment via Adversarial Concept Disentanglement
K M Arefeen Sultan, Kaysen Hansen, Benjamin Orkild +7
High-quality Late Gadolinium Enhancement (LGE) MRI can be helpful for atrial fibrillation management, yet scan quality is frequently compromised by patient motion, irregular breath…
EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis
Nafisa Binte Feroz, Chandrima Sarker, Tanzima Ahsan +2
One of the most urgent problems is the overcrowding in emergency departments (EDs), caused by an aging population and rising healthcare costs. Patient dispositions have become more…
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images
K M Arefeen Sultan, Benjamin Orkild, Alan Morris +6
Accurate assessment of left atrial fibrosis in patients with atrial fibrillation relies on high-quality 3D late gadolinium enhancement (LGE) MRI images. However, obtaining such ima…