Sourajit Saha

@inproceedings{saha2025side,
  title={Side Effects of Erasing Concepts from Diffusion Models},
  author={Saha, Shaswati and Saha, Sourajit and Gaur, Manas and Gokhale, Tejas},
  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2025},
  pages={14991--15007},
  year={2025}
}
            

@InProceedings{Saha_2025_WACV,
    author    = {Saha, Sourajit and Gokhale, Tejas},
    title     = {Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling},
    booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
    month     = {February},
    year      = {2025},
    pages     = {620-629}
}
            

@inproceedings{saha2023rfc,
    title={RFC-net: learning high resolution global features for medical image segmentation on a computational budget (student abstract)},
    author={Saha, Sourajit and Saha, Shaswati and Gani, Md Osman and Oates, Tim and Chapman, David},
    booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
    volume={37},
    number={13},
    pages={16314--16315},
    year={2023}
}
            

@article{ravin2022mitigating,
    title={Mitigating domain shift in AI-based TB screening with unsupervised domain adaptation},
    author={Ravin, Nishanjan and Saha, Sourajit and Schweitzer, Alan and Elahi, Ameena and Dako, Farouk and Mollura, Daniel and Chapman, David},
    journal={IEEE Access},
    volume={10},
    pages={45997--46013},
    year={2022},
    publisher={IEEE}
}
            

@article{saha2022pairwise,
    title={Pairwise meta learning pipeline: classifying COVID-19 abnormalities on chest radio-graphs},
    author={Saha, Sourajit and Yesha, Yaacov},
    journal={SPIE Medical Imaging 2022: Computer-Aided Diagnosis; PC1203302 (2022) Proceedings Volume PC12033, Medical Imaging 2022: Computer-Aided Diagnosis; PC1203302 (2022)},
    year={2022}
}
            

@article{kamran2021comprehensive,
    title={A comprehensive set of novel residual blocks for deep learning architectures for diagnosis of retinal diseases from optical coherence tomography images},
    author={Kamran, Sharif Amit and Saha, Sourajit and Sabbir, Ali Shihab and Tavakkoli, Alireza},
    journal={Deep Learning Applications, Volume 2},
    pages={25--48},
    year={2021},
    publisher={Springer}
}
            

@inproceedings{kamran2019optic,
    title={Optic-net: A novel convolutional neural network for diagnosis of retinal diseases from optical tomography images},
    author={Kamran, Sharif Amit and Saha, Sourajit and Sabbir, Ali Shihab and Tavakkoli, Alireza},
    booktitle={2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)},
    pages={964--971},
    year={2019},
    organization={IEEE}
}