Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks. - Sourajit Saha; Sharif Amit Kamran; Ali Shihab Sabbir (CoRR, 2018)

Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. - Sharif Amit Kamran; Sourajit Saha; Ali Shihab Sabbir; Alireza Tavakkoli (ICMLA, 2019)

Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (CoRR, 2021)

Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. - Nishanjan Ravin; Sourajit Saha; Alan Schweitzer; Ameena Elahi; Farouk Dako; Daniel J. Mollura; David Chapman 001 (IEEE Access, 2022)

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). - Sourajit Saha; Shaswati Saha; Md. Osman Gani; Tim Oates 001; David Chapman 001 (AAAI, 2023)

RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget. - Sourajit Saha; Shaswati Saha; Md. Osman Gani; Tim Oates 001; David Chapman 001 (CoRR, 2023)

SeeBel: Seeing is Believing. - Sourajit Saha; Shubhashis Roy Dipta (CoRR, 2023)

Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. - Sourajit Saha; Tejas Gokhale (WACV, 2025)