Sourajit Saha

          @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}
          }