13 citations · 25 across the 7 of their papers we have counts for
12 papers
A Diffeomorphic Aging Model for Adult Human Brain from Cross-Sectional Data
Alphin J Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Normative aging trends of the brain can serve as an important reference in the assessment of neurological structural disorders. Such models are typically developed from longitudina…
A Clinically Inspired Approach for Melanoma classification
Prathyusha Akundi, Soumyasis Gun, Jayanthi Sivaswamy
Melanoma is a leading cause of deaths due to skin cancer deaths and hence, early and effective diagnosis of melanoma is of interest. Current approaches for automated diagnosis of m…
Self-Supervised Learning for Segmentation
Abhinav Dhere, Jayanthi Sivaswamy
Self-supervised learning is emerging as an effective substitute for transfer learning from large datasets. In this work, we use kidney segmentation to explore this idea. The anatom…
A method for large diffeomorphic registration via broken geodesics
Alphin J. Thottupattu, Jayanthi Sivaswamy, Venkateswaran P. Krishnan
Anatomical variabilities seen in longitudinal data or inter-subject data is usually described by the underlying deformation, captured by non-rigid registration of these images. Sta…
Explainable Disease Classification via weakly-supervised segmentation
Aniket Joshi, Gaurav Mishra, Jayanthi Sivaswamy
Deep learning based approaches to Computer Aided Diagnosis (CAD) typically pose the problem as an image classification (Normal or Abnormal) problem. These systems achieve high to v…
Image Segmentation Using Hybrid Representations
Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy
This work explores a hybrid approach to segmentation as an alternative to a purely data-driven approach. We introduce an end-to-end U-Net based network called DU-Net, which uses ad…