3 papers
cs.CV2026
A Robust Unsupervised Domain Adaptation Framework for Medical Image Classification Using RKHS-MMD
Sapna Sachan, Rakesh Kumar Sanodiya, Amulya Kumar Mahto
Labeling medical images is a major bottleneck in the field of medical imaging, as it requires domain-specific expertise, and it gets further complicated due to variability across d…
cs.CV2026
Orientation-Aware Unsupervised Domain Adaptation for Brain Tumor Classification Across Multi-Modal MRI
Sapna Sachan, Amulya Kumar Mahto, Prashant Wagambar Patil
The clinical integration of deep learning models for brain tumor diagnosis in neuro-oncology is severely constrained by limited expert-annotated MRI data and substantial inter-inst…
cs.CV2026
MK-ResRecon: Multi-Kernel Residual Framework for Texture-Aware 3D MRI Refinement from Sparse 2D Slices
Prajyot Pyati, Sapna Sachan, Amulya Kumar Mahto +1
Magnetic Resonance Imaging (MRI) acquisition remains a time-intensive and patient-straining process, as prolonged scan dura- tions increase the likelihood of motion artifacts, whic…