Amit Sethi
Amit Sethi
Indian Institute of Technology Bombay, Indian Institute of Technology Guwahati, University of
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Cited by
Cited by
A dataset and a technique for generalized nuclear segmentation for computational pathology
N Kumar, R Verma, S Sharma, S Bhargava, A Vahadane, A Sethi
IEEE transactions on medical imaging 36 (7), 1550-1560, 2017
Structure-preserving color normalization and sparse stain separation for histological images
A Vahadane, T Peng, A Sethi, S Albarqouni, L Wang, M Baust, K Steiger, ...
IEEE transactions on medical imaging 35 (8), 1962-1971, 2016
Drowsy driver detection using representation learning
K Dwivedi, K Biswaranjan, A Sethi
2014 IEEE international advance computing conference (IACC), 995-999, 2014
A multi-organ nucleus segmentation challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging 39 (5), 1380-1391, 2019
A detection-based multiple object tracking method
M Han, A Sethi, W Hua, Y Gong
2004 International Conference on Image Processing, 2004. ICIP'04. 5, 3065-3068, 2004
The importance of information localization in scene gist recognition.
LC Loschky, A Sethi, DJ Simons, TN Pydimarri, D Ochs, JL Corbeille
Journal of Experimental Psychology: Human Perception and Performance 33 (6 …, 2007
Classification of breast cancer histology using deep learning
A Golatkar, D Anand, A Sethi
International conference image analysis and recognition, 837-844, 2018
Structure-preserved color normalization for histological images
A Vahadane, T Peng, S Albarqouni, M Baust, K Steiger, AM Schlitter, ...
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1012-1015, 2015
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
A Sethi, L Sha, AR Vahadane, RJ Deaton, N Kumar, V Macias, PH Gann
Journal of pathology informatics 7 (1), 17, 2016
The role of higher order image statistics in masking scene gist recognition
LC Loschky, BC Hansen, A Sethi, TN Pydimarri
Attention, Perception, & Psychophysics 72 (2), 427-444, 2010
Curve and surface duals and the recognition of curved 3D objects from their silhouettes
A Sethi, D Renaudie, D Kriegman, J Ponce
International journal of computer vision 58 (1), 73-86, 2004
Convolutional neural networks for prostate cancer recurrence prediction
N Kumar, R Verma, A Arora, A Kumar, S Gupta, A Sethi, PH Gann
Medical Imaging 2017: Digital Pathology 10140, 106-117, 2017
Fast learning-based single image super-resolution
N Kumar, A Sethi
IEEE Transactions on Multimedia 18 (8), 1504-1515, 2016
Convolutional neural networks for wavelet domain super resolution
N Kumar, R Verma, A Sethi
Pattern Recognition Letters 90, 65-71, 2017
Robust structure and motion from outlines of smooth curved surfaces
Y Furukawa, A Sethi, J Ponce, DJ Kriegman
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2), 302-315, 2005
A learnable distortion correction module for modulation recognition
K Yashashwi, A Sethi, P Chaporkar
IEEE Wireless Communications Letters 8 (1), 77-80, 2018
Structure and motion from images of smooth textureless objects
Y Furukawa, A Sethi, J Ponce, D Kriegman
European Conference on Computer Vision, 287-298, 2004
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
Towards generalized nuclear segmentation in histological images
A Vahadane, A Sethi
13th IEEE International Conference on BioInformatics and BioEngineering, 1-4, 2013
Histographs: graphs in histopathology
D Anand, S Gadiya, A Sethi
Medical Imaging 2020: Digital Pathology 11320, 150-155, 2020
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Articles 1–20