Skip to content
View hritam-98's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.
  • Stony Brook University
  • New York

Block or report hritam-98

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
hritam-98/README.md

Hello Everyone! 👋

Welcome to my GitHub Space!

visitor badge

I am Hritam Basak,a Ph.D. student at the Computer Science Department of Stony Brook University, New York, USA. My research interest lies in the intersection of semi-supervised & self-supervised learning and medical image analysis.

I have completed my undergraduate from the Department of Electrical Engineering, Jadavpur University, India (2017-21). I work on Deep Learning applications for Computer Vision applications with a focus on Medical Image Analysis. I primarily code in Python and use the PyTorch, Keras and TensorFlow, Scikit libraries for deep learning and machine learning problems. I use MATLAB occassionally. Check out my Google Scholar profile for a detailed understanding of my research interests and complete list of publications. I am also a reviewer for notable peer-reviewed journals (WoS Profile)

ResearchGate/ORCiD

Hritam's GitHub stats

Languages and Tools:


Github Profile Trophy


I love connecting with different people from around the world, so if you want to be my friend, feel free to reach out and introduce yourself (don’t just say hi, tell me about yourself) 😊 💜


Reach Me:

Pinned Loading

  1. ICT-MedSeg ICT-MedSeg Public

    Code implementation for our paper ACCEPTED in ISBI, 2022

    Python 39 5

  2. IDEAL-ICASSP23 IDEAL-ICASSP23 Public

    Forked from Rohit-Kundu/IDEAL-ICASSP23

    Code implementation for our ICASSP 2023 paper "IDEAL✓: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation"

    Jupyter Notebook 4

  3. GFDA-disentangled GFDA-disentangled Public

    Code for MICCAI 2023 paper titled "Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning"

    Jupyter Notebook 16 1

  4. Covid-Gompertz Covid-Gompertz Public

    Code implementation of our paper "Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans"

    Python 3

  5. MFSNet MFSNet Public

    Repository for our paper "MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation"

    Python 5 3

  6. PatchCL-MedSeg PatchCL-MedSeg Public

    Python 50 4