Abhishek Vahadane

Computer Science · Physical Sciences

8h-index2.1kcitations11works0.02yr avg
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Research Topics

AI in cancer detection(7), Cell Image Analysis Techniques(5), Medical Image Segmentation Techniques(4), Digital Imaging for Blood Diseases(4), Retinal Imaging and Analysis(2)

Publications11 total

Development of an automated combined positive score prediction pipeline using artificial intelligence on multiplexed immunofluorescence images
Computers in Biology and Medicine·2022· 16 cited
Dual Encoder Attention U-net for Nuclei Segmentation
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)·2021· 16 cited
Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning
2018· 22 cited
Weakly supervised fluid filled region localization in retinal OCT scans
2018· 8 cited
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
IEEE Transactions on Medical Imaging·2017· 1.1k cited
Few Algorithms for Histopathological Images in Computational Pathology
2017
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images
IEEE Transactions on Medical Imaging·2016· 763 cited
Learning based super-resolution of histological images
2016· 5 cited
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
Journal of Pathology Informatics·2016· 57 citedOpen Access
Structure-preserved color normalization for histological images
2015· 93 cited
Towards generalized nuclear segmentation in histological images
2013· 33 cited

Frequent Co-authors

Amit Sethi(6), Neeraj Kumar(3), Tingying Peng(2), Shadi Albarqouni(2), Maximilian Baust(2), Katja Steiger(2), Anna Melissa Schlitter(2), Iréne Esposito(2), Nassir Navab(2), Ameya Joshi(2), Tathagato Rai Dastidar(2), Shantanu Majumdar(2), Ruchika Verma(1), Sanuj Sharma(1), Surabhi Bhargava(1), Lichao Wang(1), Lingdao Sha(1), Ryan Deaton(1), Virgilia Macias(1), Peter H. Gann(1)