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2020 – today
- 2024
[i6]Sourajit Saha, Tejas Gokhale:
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling. CoRR abs/2404.07410 (2024)- 2023
- [c2]Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman:
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget (Student Abstract). AAAI 2023: 16314-16315 - [i5]Sourajit Saha, Shaswati Saha, Md. Osman Gani, Tim Oates, David Chapman:
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget. CoRR abs/2302.06134 (2023) - [i4]Sourajit Saha, Shubhashis Roy Dipta
:
SeeBel: Seeing is Believing. CoRR abs/2312.10933 (2023) - 2022
- [j1]Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman:
Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation. IEEE Access 10: 45997-46013 (2022) - 2021
- [i3]Nishanjan Ravin, Sourajit Saha, Alan Schweitzer, Ameena Elahi, Farouk Dako, Daniel J. Mollura, David Chapman:
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation. CoRR abs/2111.04893 (2021)
2010 – 2019
- 2019
- [c1]Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli:
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. ICMLA 2019: 964-971 - [i2]Sharif Amit Kamran, Sourajit Saha, Ali Shihab Sabbir, Alireza Tavakkoli:
Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography Images. CoRR abs/1910.05672 (2019) - 2018
- [i1]Sourajit Saha, Sharif Amit Kamran, Ali Shihab Sabbir:
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks. CoRR abs/1808.10524 (2018)
Coauthor Index
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