Sukesh Adiga V

12 papers Journal 8Unranked 4

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