Sukesh Adiga V

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Weakly Supervised

Top Venues

Medical Image Anal.

Publications

Sukesh Adiga V, Jose Dolz, Herve Lombaert
Anatomically-aware uncertainty for semi-supervised image segmentation. Medical Image Anal. 91 (2024)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
Trust your neighbours: Penalty-based constraints for model calibration. CoRR (2023)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) (2023)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation. MICCAI (8) (2022)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Attention-based Dynamic Subspace Learners for Medical Image Analysis. CoRR (2022)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation. CoRR (2022)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Attention-Based Dynamic Subspace Learners for Medical Image Analysis. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Sukesh Adiga V, Jose Dolz, Herve Lombaert
Manifold-driven Attention Maps for Weakly Supervised Segmentation. CoRR (2020)
Sukesh Adiga V, Jayanthi Sivaswamy
Matching The Characteristics Of Fundus And Smartphone Camera Images. ISBI (2019)
Sukesh Adiga V, Jayanthi Sivaswamy
FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks. CoRR (2018)
Sukesh Adiga V, Jayanthi Sivaswamy
Shared Encoder based Denoising of Optical Coherence Tomography Images. ICVGIP (2018)