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Deepak Anand
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2020 – today
- 2023
- [j2]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: 1393-1398 (2023) - 2020
- [j1]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): 1380-1391 (2020) - [c7]Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi:
Visualization for Histopathology Images using Graph Convolutional Neural Networks. BIBE 2020: 331-335 - [c6]Deepak Anand, Darshan Tank, Harshvardhan Tibrewal, Amit Sethi:
Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks. ISBI 2020: 1159-1163 - [c5]Deepak Anand, Shrey Gadiya, Amit Sethi:
Histographs: graphs in histopathology. Medical Imaging: Digital Pathology 2020: 113200O - [i10]Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi:
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. CoRR abs/2003.00823 (2020) - [i9]Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi:
Uncertainty Estimation in Cancer Survival Prediction. CoRR abs/2003.08573 (2020) - [i8]Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi:
Visualization for Histopathology Images using Graph Convolutional Neural Networks. CoRR abs/2006.09464 (2020) - [i7]Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi:
Switching Loss for Generalized Nucleus Detection in Histopathology. CoRR abs/2008.03750 (2020)
2010 – 2019
- 2019
- [c4]Deepak Anand, Goutham Ramakrishnan, Amit Sethi:
Fast GPU-Enabled Color Normalization for Digital Pathology. IWSSIP 2019: 219-224 - [c3]Yaman Dang, Deepak Anand, Amit Sethi:
Pixel-wise Segmentation of Right Ventricle of Heart. TENCON 2019: 1797-1802 - [i6]Goutham Ramakrishnan, Deepak Anand, Amit Sethi:
Fast GPU-Enabled Color Normalization for Digital Pathology. CoRR abs/1901.03088 (2019) - [i5]Kumar Yashashwi, Deepak Anand, Sibi Raj B. Pillai, Prasanna Chaporkar, K. Ganesh:
MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders. CoRR abs/1905.08990 (2019) - [i4]Shrey Gadiya, Deepak Anand, Amit Sethi:
Histographs: Graphs in Histopathology. CoRR abs/1908.05020 (2019) - [i3]Yaman Dang, Deepak Anand, Amit Sethi:
Pixel-wise Segmentation of Right Ventricle of Heart. CoRR abs/1908.08004 (2019) - 2018
- [c2]Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology Using Deep Learning. ICIAR 2018: 837-844 - [i2]Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology using Deep Learning. CoRR abs/1802.08080 (2018) - [i1]Shrey Gadiya, Deepak Anand, Amit Sethi:
Some New Layer Architectures for Graph CNN. CoRR abs/1811.00052 (2018) - 2017
- [c1]Ameer K. Mulla, Deepak Anand, Debraj Chakraborty, Madhu N. Belur:
Leader selection for minimum-time consensus in multi-agent networks. CDC 2017: 1036-1041
Coauthor Index
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