Deepak Anand

About Deepak Anand

Deepak Anand, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Indian Institute of Technology Bombay, specializes in the field of Medical Image Analysis, Deep learning, Computer vision, Control Theory, Multi-agent networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stability Analysis for Fast Settling Switched Digital Phase-Locked Loops (DPLLs)

Weakly supervised learning on unannotated H&E‐stained slides predicts BRAF mutation in thyroid cancer with high accuracy

Switching loss for generalized nucleus detection in histopathology

Self-supervision vs. transfer learning: robust biomedical image analysis against adversarial attacks

Uncertainty estimation in cancer survival prediction

Histographs: graphs in histopathology

Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images

Visualization for histopathology images using graph convolutional neural networks

Deepak Anand Information

University

Position

Ph.D. Scholar Electrical Engineering

Citations(all)

762

Citations(since 2020)

755

Cited By

134

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Indian Institute of Technology Bombay

Google Scholar

View Google Scholar Profile

Deepak Anand Skills & Research Interests

Medical Image Analysis

Deep learning

Computer vision

Control Theory

Multi-agent networks

Top articles of Deepak Anand

Title

Journal

Author(s)

Publication Date

Stability Analysis for Fast Settling Switched Digital Phase-Locked Loops (DPLLs)

IEEE Control Systems Letters

Zeeshan Ali

Pallavi Paliwal

Phani Raj

Deepak Anand

Debasattam Pal

...

2023/2/7

Weakly supervised learning on unannotated H&E‐stained slides predicts BRAF mutation in thyroid cancer with high accuracy

The Journal of pathology

Deepak Anand

Kumar Yashashwi

Neeraj Kumar

Swapnil Rane

Peter H Gann

...

2021/11

Switching loss for generalized nucleus detection in histopathology

arXiv preprint arXiv:2008.03750

Deepak Anand

Gaurav Patel

Yaman Dang

Amit Sethi

2020/8/9

Self-supervision vs. transfer learning: robust biomedical image analysis against adversarial attacks

Deepak Anand

Darshan Tank

Harshvardhan Tibrewal

Amit Sethi

2020/4/3

Uncertainty estimation in cancer survival prediction

arXiv preprint arXiv:2003.08573

Hrushikesh Loya

Pranav Poduval

Deepak Anand

Neeraj Kumar

Amit Sethi

2020/3/19

Histographs: graphs in histopathology

Deepak Anand

Shrey Gadiya

Amit Sethi

2020/3/16

Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images

Journal of pathology informatics

Deepak Anand

Nikhil Cherian Kurian

Shubham Dhage

Neeraj Kumar

Swapnil Rane

...

2020/1/1

Visualization for histopathology images using graph convolutional neural networks

Mookund Sureka

Abhijeet Patil

Deepak Anand

Amit Sethi

2020/10/26

See List of Professors in Deepak Anand University(Indian Institute of Technology Bombay)

Co-Authors

H-index: 57
Peter Gann

Peter Gann

University of Illinois at Chicago

H-index: 27
Amit Sethi

Amit Sethi

Indian Institute of Technology Bombay

H-index: 19
Prasanna Chaporkar

Prasanna Chaporkar

Indian Institute of Technology Bombay

H-index: 17
Madhu Belur

Madhu Belur

Indian Institute of Technology Bombay

H-index: 14
Debraj Chakraborty

Debraj Chakraborty

Indian Institute of Technology Bombay

H-index: 8
Abhijeet Patil

Abhijeet Patil

Indian Institute of Technology Bombay

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