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Achievements

Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@batmanlab @foundationsmachinelearning-fa19
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shantanu-ai/README.md

Hi there 👋

Icons borrowed from David Stutz

I am currently a Ph.D. candidate at Boston University in Electrical Engineering under the supervision of Dr. Kayhan Batmanghelich. I am a computer vision researcher interested in explainable AI with an application in medical imaging. I graduated with a master's degree in Computer Science from the University of Florida under the supervision of Dr. Mattia Prosperi.

  • 💻 This is my website
  • 🔭 I am currently working at Batman Lab
  • 🌱 I know about research in explainable AI (X-AI)
  • 💬 Ask me about Python, Pytorch, Deep Learning, Computer Vision, X-AI
  • 📫 How to reach me: [email protected]
  • 👨 Pronouns: he/him/his
  • 😎 Fun fact: I was a software engineer for 6.5 years before I started my Masters in the US

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  1. batmanlab/Mammo-CLIP batmanlab/Mammo-CLIP Public

    Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

    Python 11 1

  2. batmanlab/ICML-2023-Route-interpret-repeat batmanlab/ICML-2023-Route-interpret-repeat Public

    Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

    Jupyter Notebook 20 4

  3. batmanlab/MICCAI-2023-Route-interpret-repeat-CXRs batmanlab/MICCAI-2023-Route-interpret-repeat-CXRs Public

    Official repository of MICCAI 2023 paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning

    Python 10 2

  4. P2P-File-sharing P2P-File-sharing Public

    This repository is created as a part of the P2p project for Computer Networks (CNT5106C) at the University of Florida for the Master's in Computer Science program. A simplified P2p network where an…

    Java 21 4

  5. deep-learning-resources deep-learning-resources Public

    Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med Img lecture videos from professors at esteemed universities.

    28 8

  6. DPN-SA DPN-SA Public

    Repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA) to calculate propensity score using sparse autoencoder

    Python 11 3