Deepak Anand

According to our database, Deepak Anand authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Zeeshan Ali, Pallavi Paliwal, Phani Raj, Deepak Anand, Debasattam Pal, Shalabh Gupta

IEEE Control. Syst. Lett., 2023

2020

A Multi-Organ Nucleus Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 2020

Switching Loss for Generalized Nucleus Detection in Histopathology.

Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi

CoRR, 2020

Uncertainty Estimation in Cancer Survival Prediction.

Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi

CoRR, 2020

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning.

Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

CoRR, 2020

Histographs: graphs in histopathology.

Deepak Anand, Shrey Gadiya, Amit Sethi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks.

Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Visualization for Histopathology Images using Graph Convolutional Neural Networks.

Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders.

Kumar Yashashwi, Deepak Anand, Sibi Raj B. Pillai, Prasanna Chaporkar, K. Ganesh

CoRR, 2019

Pixel-wise Segmentation of Right Ventricle of Heart.

Yaman Dang, Deepak Anand, Amit Sethi

Proceedings of the TENCON 2019, 2019

Fast GPU-Enabled Color Normalization for Digital Pathology.

Deepak Anand, Goutham Ramakrishnan, Amit Sethi

Proceedings of the International Conference on Systems, Signals and Image Processing, 2019

2018

Some New Layer Architectures for Graph CNN.

Shrey Gadiya, Deepak Anand, Amit Sethi

CoRR, 2018

Classification of Breast Cancer Histology Using Deep Learning.

Aditya Golatkar, Deepak Anand, Amit Sethi

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Leader selection for minimum-time consensus in multi-agent networks.

Ameer K. Mulla, Deepak Anand, Debraj Chakraborty, Madhu N. Belur

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017