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Anurag Agrawal
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2020 – today
- 2023
- [c5]Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher:
Deep Learning based Diagnostic and Severity Assessment Framework for Lung Diseases using Chest Radiographs. CBMS 2023: 864-869 - 2022
- [j5]Prateek Singh, Rajat Ujjainiya, Satyartha Prakash, Salwa Naushin, Viren Sardana, Nitin Bhatheja, Ajay Pratap Singh, Joydeb Barman, Kartik Kumar, Saurabh Gayali, Raju Khan, Birendra Singh Rawat, Karthik Bharadwaj Tallapaka, Mahesh Anumalla, Amit Lahiri, Susanta Kar, Vivek Bhosale, Mrigank Srivastava, Madhav Nilakanth Mugale, C. P. Pandey, Shaziya Khan, Shivani Katiyar, Desh Raj, Sharmeen Ishteyaque, Sonu Khanka, Ankita Rani, Promila, Jyotsna Sharma, Anuradha Seth, Mukul Dutta, Nishant Saurabh, Murugan Veerapandian, Ganesh Venkatachalam, Deepak Bansal, Dinesh Gupta, Prakash M. Halami, Muthukumar Serva Peddha, Ravindra P. Veeranna, Anirban Pal, Ranvijay Kumar Singh, Suresh Kumar Anandasadagopan, Parimala Karuppanan, Syed Nasar Rahman, Gopika Selvakumar, Venkatesan Subramanian, Malay Kumar Karmakar, Harish Kumar Sardana, Anamika Kothari, Devendra Singh Parihar, Anupma Thakur, Anas Saifi, Naman Gupta, Yogita Singh, Ritu Reddu, Rizul Gautam, Anuj Mishra, Avinash Mishra, Iranna Gogeri, Geethavani Rayasam, Yogendra Padwad, Vikram Patial, Vipin Hallan, Damanpreet Singh, Narendra Tirpude, Partha Chakrabarti, Sujay Krishna Maity, Dipyaman Ganguly, Ramakrishna Sistla, Narender Kumar Balthu, Kiran Kumar A, Siva Ranjith, B. Vijay Kumar, Piyush Singh Jamwal, Anshu Wali, Sajad Ahmed, Rekha Chouhan, Sumit G. Gandhi, Nancy Sharma, Garima Rai, Faisal Irshad, Vijay Lakshmi Jamwal, Masroor Ahmad Paddar, Sameer Ullah Khan, Fayaz Malik, Debashish Ghosh, Ghanshyam Thakkar, Saroj Kanta Barik, Prabhanshu Tripathi, Yatendra Kumar Satija, Sneha Mohanty, Md. Tauseef Khan, Umakanta Subudhi, Pradip Sen, Rashmi Kumar, Anshu Bhardwaj, Pawan Gupta, Deepak Sharma, Amit Tuli, Saumya Ray chaudhuri, Srinivasan Krishnamurthi, L. Prakash, Ch V. Rao, B. N. Singh, Arvindkumar Chaurasiya, Meera Chaurasiyar, Mayuri Bhadange, Bhagyashree Likhitkar, Sharada Mohite, Yogita Patil, Mahesh Kulkarni, Rakesh Joshi, Vaibhav Pandya, Sachin Mahajan, Amita Patil, Rachel Samson, Tejas Vare, Mahesh Dharne, Ashok Giri, Shilpa Paranjape, G. Narahari Sastry, Jatin Kalita, Tridip Phukan, Prasenjit Manna, Wahengbam Romi, Pankaj Bharali, Dibyajyoti Ozah, Ravi Kumar Sahu, Prachurjya Dutta, Moirangthem Goutam Singh, Gayatri Gogoi, Yasmin Begam Tapadar, Elapavalooru VSSK. Babu, Rajeev K. Sukumaran, Aishwarya R. Nair, Anoop Puthiyamadam, Prajeesh Kooloth Valappil, Adrash Velayudhan Pillai Prasannakumari, Kalpana Chodankar, Samir Damare, Ved Varun Agrawal, Kumardeep Chaudhary, Anurag Agrawal, Shantanu Sengupta, Debasis Dash:
A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys. Comput. Biol. Medicine 146: 105419 (2022) - [j4]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Semantic segmentation of bone structures in chest X-rays including unhealthy radiographs: A robust and accurate approach. Int. J. Medical Informatics 165: 104831 (2022) - 2021
- [j3]Anushikha Singh, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Deep LF-Net: Semantic lung segmentation from Indian chest radiographs including severely unhealthy images. Biomed. Signal Process. Control. 68: 102666 (2021) - 2020
- [c4]Anurag Agrawal, Changhoon Kim:
Intel Tofino2 - A 12.9Tbps P4-Programmable Ethernet Switch. Hot Chips Symposium 2020: 1-32 - [i3]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Devasahayam J. Christopher, Balamugesh Thangakunam:
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images. CoRR abs/2011.09695 (2020) - [i2]Anushikha Singh, Brejesh Lall, Bijaya Ketan Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, Devasahayam J. Christopher:
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update. CoRR abs/2011.09778 (2020)
2010 – 2019
- 2017
- [c3]Subhasish Das, Anurag Agrawal, Ayan Banerjee, Sandeep K. S. Gupta:
Model Guided Deep Learning Approach Towards Prediction of Physical System Behavior. ICMLA 2017: 1079-1082 - 2016
- [c2]Anirudh Sivaraman, Suvinay Subramanian, Mohammad Alizadeh, Sharad Chole, Shang-Tse Chuang, Anurag Agrawal, Hari Balakrishnan, Tom Edsall, Sachin Katti, Nick McKeown:
Programmable Packet Scheduling at Line Rate. SIGCOMM 2016: 44-57 - [i1]Anirudh Sivaraman, Suvinay Subramanian, Anurag Agrawal, Sharad Chole, Shang-Tse Chuang, Tom Edsall, Mohammad Alizadeh, Sachin Katti, Nick McKeown, Hari Balakrishnan:
Programmable Packet Scheduling. CoRR abs/1602.06045 (2016) - 2015
- [c1]Anirudh Sivaraman, Suvinay Subramanian, Anurag Agrawal, Sharad Chole, Shang-Tse Chuang, Tom Edsall, Mohammad Alizadeh, Sachin Katti, Nick McKeown, Hari Balakrishnan:
Towards Programmable Packet Scheduling. HotNets 2015: 23:1-23:7 - 2011
- [j2]Anurag Agrawal, Zouheir Rezki, Ashish Khisti, Mohamed-Slim Alouini:
Noncoherent Capacity of Secret-Key Agreement With Public Discussion. IEEE Trans. Inf. Forensics Secur. 6(3-1): 565-574 (2011)
2000 – 2009
- 2000
- [j1]Margaret M. Burnett, Anurag Agrawal, Pieter van Zee:
Exception Handling in the Spreadsheet Paradigm. IEEE Trans. Software Eng. 26(10): 923-942 (2000)
Coauthor Index
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