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Hello Everyone! πŸ‘‹

Welcome to my GitHub Space!

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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)

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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) 😊 πŸ’œ


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Hritam Basak's Projects

agmm-sass icon agmm-sass

[CVPR 2023] Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures

cell-tracker icon cell-tracker

Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.

condensenet icon condensenet

Repository for our ConDenseNet paper, which is under review in Pattern Recognition, Elsevier.

confeti icon confeti

Official implementation of Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation

covid-gompertz icon covid-gompertz

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

cse577 icon cse577

https://www.cs.stonybrook.edu/students/Graduate-Studies/courses/CSE577

domain-cl-cr icon domain-cl-cr

Code implementation of our paper "Exploring Domain-specific Contrastive Learning with Consistency Regularization for Semi-supervised Medical Image Segmentation "

fourier123 icon fourier123

Fourier123: One Image to High-Quality 3D Object Generation with Hybrid Fourier Score Distillation

gfda-disentangled icon gfda-disentangled

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

ict-medseg icon ict-medseg

Code implementation for our paper ACCEPTED in ISBI, 2022

ideal-icassp23 icon ideal-icassp23

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

image-to-3d icon image-to-3d

Latest advancements in image (single or multiple) to 3D object generation

issa icon issa

Official implementation of "Intra-Source Style Augmentation for Improved Domain Generalization" (WACV 2023)

langsplat icon langsplat

Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]

metaclip icon metaclip

Everything about MetaCLIP: curation/training code, metadata, distribution and pre-trained models.

mfsnet icon mfsnet

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

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