Sukesh Adiga V, Jose Dolz, Herve Lombaert - GeoLS: an Intensity-based Geodesic Soft Labeling for Image Segmentation, Under Review, 2024.
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz - Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints, Under Review, 2024.
Sukesh Adiga V, Jose Dolz, Herve Lombaert - Anatomically-aware Uncertainty for Semi-supervised Image Segmentation, Medical Image Analysis (MedIA), 2023. (Impact Factor: 10.7)
Sukesh Adiga V, Jose Dolz, Herve Lombaert - Attention-based Dynamic Subspace Learners for Medical Image Analysis, IEEE Journal of Biomedical And Health Informatics (JBHI), 2022. (Impact Factor: 7.7)
Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz - Trust your neighbours: Penalty-based constraints for model calibration, in proc. of 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. (Acceptance < 32%)
Sukesh Adiga V, Jose Dolz, Herve Lombaert - GeoLS: Geodesic Label Smoothing for Image Segmentation, in 6th edition of Medical Imaging with Deep Learning (MIDL), 2023. (Acceptance < 42%, Oral Presentation ~ Best 12%)
Sukesh Adiga V, Jose Dolz, Herve Lombaert - Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation, in proc. of 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022. (Acceptance < 31%)
Sukesh Adiga V, Jayanthi Sivaswamy - Matching the characteristics of Fundus and Smartphone camera images, in Proc. of 16th IEEE International Symposium on Biomedical Imaging (ISBI), 2019. (Acceptance < 35%)
Sukesh Adiga V, Jayanthi Sivaswamy - Shared Encoder based Denoising of Optical Coherence Tomography Images, in Proc. of 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2018. (Acceptance < 33%)
Sukesh Adiga V, and Jayanthi Sivaswamy - FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks, Inpainting and Denoising Challenges}, Springer, Cham, 2019. (Oral Presentation, Ranked 3rd)
Sukesh Adiga V, Jose Dolz, Herve Lombaert - Attention-based Dynamic Subspace Learners, in 5th Medical Imaging with Deep Learning (MIDL), 2022. (Short paper)
Sukesh Adiga V, Jose Dolz, Herve Lombaert - Manifold-driven Attention Maps for Weakly Supervised Segmentation, Arxiv, 2020
Laurent Chauvin, Sukesh Adiga V, Jose Dolz, Herve Lombaert, Matthew Toews - A Large-scale Neuroimage Analysis using Keypoint Signatures: UK Biobank (Abstract), Organization for Human Brain Mapping (OHBM), 2020
Sukesh Adiga V, Learning with Uncertainty in Medical Image Segmentation, PhD thesis (Excellent), July 2024.
Sukesh Adiga V, Retinal Image Quality Improvement via Learning, Master's thesis, August 2019.