Kaushik S
I recently graduated from IIITDM Kancheepuram with a Dual Degree (B.Tech + M.Tech) in Computer Engineering and joined PayPal as a Software Engineer in the Core Payments team.
Previously, I was a Research Intern at Healthcare Technology Innovation Centre(HTIC), IIT Madras, where I was part of the Image Computing group, pursuing research in Deep Learning for Medical Imaging.
I am an international chess player, with a FIDE rating of 2126. I am also an avid quizzer and football fanatic.
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Research
I have been conducting research on DL-based methods to alleviate persistent issues in Medical Image Segmentation and Reconstruction, although I am interested to work on Computer Vision problems in general. My current research is focused on the 2 key tenets of transforming academic research into real-life applications, namely Knowledge Distillation for memory efficiency and Disentanglement for Model Interpretability, specifically in GANs.
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KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
Balamurali Murugesan, Sricharan Vijayarangan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
MIDL 2020 (Poster)
OpenReview /
Code
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A context based deep learning approach for unbalanced Medical Image Segmentation
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan, Keerthi Ram, Mohanasankar Sivaprakasam
ISBI 2020
Arxiv /
Code
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Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
MLMI Workshop, MICCAI 2019 (Poster)
Arxiv /
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Poster
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Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction
Balamurali Murugesan, Vijaya Raghavan, Kaushik Sarveswaran, Keerthi Ram, Mohanasankar Sivaprakasam
MLMIR Workshop, MICCAI 2019 (Oral)
Arxiv /
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Presentation
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Psi-Net: Shape and boundary aware joint multi-task deep network for Medical Image Segmentation
Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
EMBC 2019 (Oral)
Arxiv /
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Presentation
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Deep detection and classification of mitotic figures
Balamurali Murugesan, Sakthivel Selvaraj, Kaushik Sarveswaran, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
SPIE Medical Imaging 2019 (Poster)
Poster
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Reviewer, Machine Learning for Health (ML4H) Symposium, 2021
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Reviewer, Machine Learning for Health (ML4H) Workshop, NeurIPS 2020
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Reviewer, ACM Conference on Health, Inference, and Learning (CHIL) 2020
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Reviewer, Machine Learning for Health (ML4H) Workshop, NeurIPS 2019
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Teaching Assistant, Operating Systems(COM301), IIITDM Kancheepuram
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