Sushant Agarwal

According to our database, Sushant Agarwal authored at least 15 papers between 1999 and 2024.

Collaborative distances:

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

2024

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.

Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri

Frontiers Artif. Intell., 2024

Private Mean Estimation with Person-Level Differential Privacy.

Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman

CoRR, 2024

2023

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.

Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu

IEEE Access, 2023

2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri

Comput. Biol. Medicine, 2022

On the Power of Randomization in Fair Classification and Representation.

Sushant Agarwal, Amit Deshpande

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective.

Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu

IEEE J. Biomed. Health Informatics, 2021

Impossibility results for fair representations.

Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan

CoRR, 2021

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence.

Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu

Comput. Biol. Medicine, 2021

Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.

Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju

Proceedings of the 38th International Conference on Machine Learning, 2021

Open Problem: Are all VC-classes CPAC learnable?

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Conference on Learning Theory, 2021

2020

On Learnability wih Computable Learners.

Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner

Proceedings of the Algorithmic Learning Theory, 2020

2018

Privacy in Location-Sensing Technologies.

Andreas Solti, Sushant Agarwal, Sarah Spiekermann-Hoff

Proceedings of the Handbook of Mobile Data Privacy., 2018

Legislative Compliance Assessment: Framework, Model and GDPR Instantiation.

Sushant Agarwal, Simon Steyskal, Franjo Antunovic, Sabrina Kirrane

Proceedings of the Privacy Technologies and Policy - 6th Annual Privacy Forum, 2018

2015

Developing a Structured Metric to Measure Privacy Risk in Privacy Impact Assessments.

Sushant Agarwal

Proceedings of the Privacy and Identity Management. Time for a Revolution?, 2015

1999

PROVERB: The Probabilistic Cruciverbalist.

Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard, Karl Weinmeister

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999