Deepak Anand

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Biomedical Image Analysis

Histopathology Images

Graph Representation

Top Venues

IEEE Control. Syst. Lett.

Publications

Zeeshan Ali, Pallavi Paliwal, Phani Raj, Deepak Anand, Debasattam Pal, Shalabh Gupta
Stability Analysis for Fast Settling Switched Digital Phase-Locked Loops (DPLLs). IEEE Control. Syst. Lett. 7 (2023)
Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
Visualization for Histopathology Images using Graph Convolutional Neural Networks. BIBE (2020)
Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi
Switching Loss for Generalized Nucleus Detection in Histopathology. CoRR (2020)
Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi
Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks. ISBI (2020)
Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39 (5) (2020)
Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi
Visualization for Histopathology Images using Graph Convolutional Neural Networks. CoRR (2020)
Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR (2020)
Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi
Uncertainty Estimation in Cancer Survival Prediction. CoRR (2020)
Deepak Anand, Shrey Gadiya, Amit Sethi
Histographs: graphs in histopathology. Medical Imaging: Digital Pathology (2020)
Kumar Yashashwi, Deepak Anand, Sibi Raj B. Pillai, Prasanna Chaporkar, K. Ganesh
MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders. CoRR (2019)
Yaman Dang, Deepak Anand, Amit Sethi
Pixel-wise Segmentation of Right Ventricle of Heart. CoRR (2019)
Yaman Dang, Deepak Anand, Amit Sethi
Pixel-wise Segmentation of Right Ventricle of Heart. TENCON (2019)
Goutham Ramakrishnan, Deepak Anand, Amit Sethi
Fast GPU-Enabled Color Normalization for Digital Pathology. CoRR (2019)
Deepak Anand, Goutham Ramakrishnan, Amit Sethi
Fast GPU-Enabled Color Normalization for Digital Pathology. IWSSIP (2019)
Shrey Gadiya, Deepak Anand, Amit Sethi
Histographs: Graphs in Histopathology. CoRR (2019)
Shrey Gadiya, Deepak Anand, Amit Sethi
Some New Layer Architectures for Graph CNN. CoRR (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology using Deep Learning. CoRR (2018)
Aditya Golatkar, Deepak Anand, Amit Sethi
Classification of Breast Cancer Histology Using Deep Learning. ICIAR (2018)
Ameer K. Mulla, Deepak Anand, Debraj Chakraborty, Madhu N. Belur
Leader selection for minimum-time consensus in multi-agent networks. CDC (2017)