Deepak Anand

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Amit SethiIndian Institute of Technology Bombay, Indian Institute of Technology Guwahati, University ofVerified email at iitb.ac.in
Peter GannProfessor of Pathology, University of Illinois at ChicagoVerified email at uic.edu
Shrey GadiyaQualcommVerified email at qti.qualcomm.com
Neeraj KumarAlberta Machine Intelligence InstituteVerified email at iitg.ernet.in
Swapnil RaneDept. of Oncopathology, Tata Memorial Centre, HBNI, IndiaVerified email at actrec.gov.in
Aditya GolatkarUniversity of California Los AngelesVerified email at g.ucla.edu
Abhijeet PatilIIT BombayVerified email at iitb.ac.in
Kumar YashashwiUndergraduate, Indian Institute of Technology BombayVerified email at iitb.ac.in
Goutham RamakrishnanMachine Learning Engineer - II, AWS NeuronVerified email at amazon.com
Nikhil Cherian KurianAustralian Institute for Machine learning, University of Adelaide, IIT BombayVerified email at adelaide.edu.au
Dipesh TamboliApplied Scientist @ Amazon Robotics | Purdue | IITBVerified email at amazon.com
Hrushikesh LoyaPhD, University of OxfordVerified email at stats.ox.ac.uk
Harshvardhan TibrewalIndian Institute of Technology BombayVerified email at iitb.ac.in
Darshan TankVerified email at iitb.ac.in
Prasanna ChaporkarElectrical Engineering, IIT BombayVerified email at ee.iitb.ac.in
Debraj ChakrabortyProfessor of Electrical Engineering, IIT BombayVerified email at ee.iitb.ac.in
Madhu BelurIndian Institute of Technology BombayVerified email at ee.iitb.ac.in
Ameer MullaIIT DharwadVerified email at iitdh.ac.in
Debasattam PalAssociate Professor, Electrical Engineering Department, I.I.T. BombayVerified email at ee.iitb.ac.in
Gaurav PatelPurdue UniversityVerified email at purdue.edu

Deepak Anand

Data Science Manager, Nference

Verified email at nference.net - Homepage

Medical Image Analysis Deep learning Computer vision Control Theory Multi-agent networks


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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	369	2019
Classification of breast cancer histology using deep learning A Golatkar, D Anand, A Sethi Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018	149	2018
Histographs: graphs in histopathology D Anand, S Gadiya, A Sethi Medical Imaging 2020: Digital Pathology 11320, 150-155, 2020	72*	2020
Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images D Anand, NC Kurian, S Dhage, N Kumar, S Rane, PH Gann, A Sethi Journal of pathology informatics 11 (1), 19, 2020	45	2020
Fast GPU-enabled color normalization for digital pathology D Anand, G Ramakrishnan, A Sethi 2019 international conference on systems, signals and image processing …, 2019	38*	2019
Weakly supervised learning on unannotated H&E‐stained slides predicts BRAF mutation in thyroid cancer with high accuracy D Anand, K Yashashwi, N Kumar, S Rane, PH Gann, A Sethi The Journal of pathology 255 (3), 232-242, 2021	37	2021
Visualization for histopathology images using graph convolutional neural networks M Sureka, A Patil, D Anand, A Sethi 2020 IEEE 20th international conference on bioinformatics and bioengineering …, 2020	33	2020
Breast cancer histopathology image classification and localization using multiple instance learning A Patil, D Tamboli, S Meena, D Anand, A Sethi 2019 IEEE International WIE conference on electrical and computer …, 2019	28	2019
Self-supervision vs. transfer learning: robust biomedical image analysis against adversarial attacks D Anand, D Tank, H Tibrewal, A Sethi 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1159-1163, 2020	18	2020
Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020	9	2020
Uncertainty estimation in cancer survival prediction H Loya, P Poduval, D Anand, N Kumar, A Sethi arXiv preprint arXiv:2003.08573, 2020	8	2020
MIST: A novel training strategy for low-latency scalable neural net decoders K Yashashwi, D Anand, SRB Pillai, P Chaporkar, K Ganesh arXiv preprint arXiv:1905.08990, 2019	7	2019
Some new layer architectures for graph cnn S Gadiya, D Anand, A Sethi arXiv preprint arXiv:1811.00052, 2018	7	2018
Pixel-wise Segmentation of right ventricle of heart Y Dang, D Anand, A Sethi TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1797-1802, 2019	4	2019
Switching loss for generalized nucleus detection in histopathology D Anand, G Patel, Y Dang, A Sethi arXiv preprint arXiv:2008.03750, 2020	3	2020
A Bayesian framework to quantify survival uncertainty H Loya, D Anand, P Poduval, N Kumar, A Sethi Annals of Oncology 30, vii32-vii33, 2019	3	2019
Leader selection for minimum-time consensus in multi-agent networks AK Mulla, D Anand, D Chakraborty, MN Belur 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1036-1041, 2017	3	2017
Abstract p4-02-11: Computer vision detects morphological correlates of her2 positive breast cancer in h&e stained histological images S Dhage, D Anand, N Kumar, PH Gann, A Sethi Cancer Research 79 (4_Supplement), P4-02-11-P4-02-11, 2019	1	2019
Stability Analysis for Fast Settling Switched Digital Phase-Locked Loops (DPLLs) Z Ali, P Paliwal, P Raj, D Anand, D Pal, S Gupta IEEE Control Systems Letters 7, 1393-1398, 2023		2023
RETINAL FUNDUS IMAGE SEGMENTATION USING FUSIONNET D Anand, MK Singh, A Sethi

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