Sourajit Saha

            @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}
          }
          

          @article{saha2018lightning,
              title={A Lightning fast approach to classify Bangla Handwritten Characters and Numerals using newly structured Deep Neural Network},
              author={Saha, Sourajit and Saha, Nisha},
              journal={Procedia computer science},
              volume={132},
              pages={1760--1770},
              year={2018},
              publisher={Elsevier}
          }
          

          @inproceedings{saha2018total,
              title={Total recall: understanding traffic signs using deep convolutional neural network},
              author={Saha, Sourajit and Kamran, Sharif Amit and Sabbir, Ali Shihab},
              booktitle={2018 21st international conference of computer and information technology (ICCIT)},
              pages={1--6},
              year={2018},
              organization={IEEE}
          }