Towards generalized nuclear segmentation in histological images. - Abhishek Vahadane; Amit Sethi (BIBE, 2013)

Structure-preserved color normalization for histological images. - Abhishek Vahadane; Tingying Peng; Shadi Albarqouni; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Amit Sethi; Irene Esposito; Nassir Navab (ISBI, 2015)

Learning based super-resolution of histological images. - Abhishek Vahadane; Neeraj Kumar 002; Amit Sethi (ISBI, 2016)

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. - Abhishek Vahadane; Tingying Peng; Amit Sethi; Shadi Albarqouni; Lichao Wang; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Irene Esposito; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. - Neeraj Kumar 002; Ruchika Verma; Sanuj Sharma; Surabhi Bhargava; Abhishek Vahadane; Amit Sethi (IEEE Trans. Medical Imaging, 2017)

Weakly supervised fluid filled region localization in retinal OCT scans. - Shahrukh Athar; Abhishek Vahadane; Ameya Joshi; Tathagato Rai Dastidar (ISBI, 2018)

Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning. - Abhishek Vahadane; Ameya Joshi; Kiran Madan; Tathagato Rai Dastidar (ISBI, 2018)

Blur-Robust Nuclei Segmentation for Immunofluorescence Images. - Devraj Mandal; Abhishek Vahadane; Shreya Sharma 007; Shantanu Majumdar (EMBC, 2021)

Spatial-context-aware RNA-sequence prediction from head and neck cancer histopathology images. - Shreya Sharma 007; Srikanth Ragothaman; Abhishek Vahadane; Devraj Mandal; Shantanu Majumdar (EMBC, 2021)

Dual Encoder Attention U-net for Nuclei Segmentation. - Abhishek Vahadane; Atheeth B; Shantanu Majumdar (EMBC, 2021)

Development of an automated combined positive score prediction pipeline using artificial intelligence on multiplexed immunofluorescence images. - Abhishek Vahadane; Shreya Sharma 007; Devraj Mandal; Madan Dabbeeru; Josephine Jakthong; Miguel Garcia-Guzman; Shantanu Majumdar; Chung-Wein Lee (Comput. Biol. Medicine, 2023)