Sasank Chilamkurthy

According to our database, Sasank Chilamkurthy authored at least 5 papers between 2017 and 2023.

Collaborative distances:

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

2023

Mind the Clot: Automated LVO Detection on CTA using Deep Learning.

Shubham Kumar, Arjun Agarwal, Satish Golla, Swetha Tanamala, Ujjwal Upadhyay, Subhankar Chattoraj, Preetham Putha, Sasank Chilamkurthy

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement.

Ujjwal Upadhyay, Mukul Ranjan, Satish Golla, Swetha Tanamala, Preetham Sreenivas, Sasank Chilamkurthy, Jeyaraj Pandian, Jason Tarpley

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2019

PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans.

Sasank Chilamkurthy, Rohit Ghosh, Swetha Tanamala, Mustafa Biviji, Norbert G. Campeau, Vasantha Kumar Venugopal, Vidur Mahajan, Pooja Rao, Prashant Warier

CoRR, 2018

2017

2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation.

Jay Patravali, Shubham Jain, Sasank Chilamkurthy

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017