Sukesh Adiga V

According to our database, Sukesh Adiga V authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Anatomically-aware uncertainty for semi-supervised image segmentation.

Sukesh Adiga V, Jose Dolz, Herve Lombaert

Medical Image Anal., January, 2024

Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints.

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz

CoRR, 2024

2023

GeoLS: Geodesic Label Smoothing for Image Segmentation.

Sukesh Adiga Vasudeva, Jose Dolz, Herve Lombaert

Proceedings of the Medical Imaging with Deep Learning, 2023

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration.

Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Attention-Based Dynamic Subspace Learners for Medical Image Analysis.

Sukesh Adiga V, Jose Dolz, Herve Lombaert

IEEE J. Biomed. Health Informatics, 2022

Leveraging Labeling Representations in Uncertainty-Based Semi-supervised Segmentation.

Sukesh Adiga V, Jose Dolz, Herve Lombaert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Manifold-driven Attention Maps for Weakly Supervised Segmentation.

Sukesh Adiga V, Jose Dolz, Herve Lombaert

CoRR, 2020

2019

Matching The Characteristics Of Fundus And Smartphone Camera Images.

Sukesh Adiga V, Jayanthi Sivaswamy

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks.

Sukesh Adiga V, Jayanthi Sivaswamy

CoRR, 2018

Shared Encoder based Denoising of Optical Coherence Tomography Images.

Sukesh Adiga V, Jayanthi Sivaswamy

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018