Shared Encoder based Denoising of Optical Coherence Tomography Images. - Sukesh Adiga V; Jayanthi Sivaswamy (ICVGIP, 2018)

FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks. - Sukesh Adiga V; Jayanthi Sivaswamy (CoRR, 2018)

Matching The Characteristics Of Fundus And Smartphone Camera Images. - Sukesh Adiga V; Jayanthi Sivaswamy (ISBI, 2019)

Manifold-driven Attention Maps for Weakly Supervised Segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (CoRR, 2020)

Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (MICCAI (8), 2022)

Attention-Based Dynamic Subspace Learners for Medical Image Analysis. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (IEEE J. Biomed. Health Informatics, 2022)

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. - Balamurali Murugesan; Sukesh Adiga V; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (MICCAI (3), 2023)

GeoLS: Geodesic Label Smoothing for Image Segmentation. - Sukesh Adiga Vasudeva; Jose Dolz; Herve Lombaert (MIDL, 2023)

Anatomically-aware uncertainty for semi-supervised image segmentation. - Sukesh Adiga V; Jose Dolz; Herve Lombaert (Medical Image Anal., 2024)

Neighbor-aware calibration of segmentation networks with penalty-based constraints. - Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2025)