2 citations · 2 across the 3 of their papers we have counts for
3 papers
AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation
Prantik Deb, Srimanth Dhondy, N. Ramakrishna +3
Chest X-ray (CXR) segmentation is an important step in computer-aided diagnosis, yet deploying large foundation models in clinical settings remains challenging due to computational…
Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti +1
Accurate segmentation of medical images is challenging due to unclear lesion boundaries and mask variability. We introduce \emph{Segmentation Schödinger Bridge (SSB)}, the first ap…
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi +1
Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge. For this, the immediate identification…