Showing results (1-10 of 345) with videos related to

Sort By:
Pageof 35
Medical Image Analysis|May 7, 2026
Disentangled generative uncertainty-aware multi-modal diffusion segmentation of medical imagesDwarikanath Mahapatra, Sudipta Roy, Mauricio Reyes
IEEE Transactions on Medical Imaging|April 3, 2025
Corrections to "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement"Dwarikanath Mahapatra, Antonio Jimeno Yepes, Behzad Bozorgtabar, et al.
IEEE Transactions on Medical Imaging|July 17, 2024
Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature DisentanglementDwarikanath Mahapatra, Antonio Jimeno Yepes, Behzad Bozorgtabar, et al.
Medical Image Analysis|July 17, 2024
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classificationDwarikanath Mahapatra, Ruwan Tennakoon, Yasmeen George, et al.
IEEE Transactions on Medical Imaging|October 14, 2022
Graph Node Based Interpretability Guided Sample Selection for Active LearningDwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes
IEEE Transactions on Medical Imaging|March 29, 2022
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency MapsDwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes
Medical Image Analysis|August 6, 2022
Interpretability-Guided Inductive Bias For Deep Learning Based Medical ImageDwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes
Medical Image Analysis|January 10, 2024
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classificationDwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, et al.
IEEE Transactions on Medical Imaging|February 24, 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and SegmentationDwarikanath Mahapatra, Alexander Poellinger, Ling Shao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 27, 2014
Analyzing training information from random forests for improved image segmentationDwarikanath Mahapatra
Pageof 35