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Joohi Chauhan
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2020 – today
- 2024
- [c5]Zhengfeng Lai
, Joohi Chauhan
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. ECCV (64) 2024: 256-273 - [i2]Prateek Mittal, Jai Dalmotra, Joohi Chauhan:
Adaptive and Stratified Subsampling Techniques for High Dimensional Non-Standard Data Environments. CoRR abs/2410.12367 (2024) - 2023
- [j2]Joohi Chauhan
EffViT-COVID: A dual-path network for COVID-19 percentage estimation. Expert Syst. Appl. 213(Part): 118939 (2023) - [c4]Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan
CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts. ICCV (Workshops) 2023: 2366-2372 - [i1]Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof:
Continual Learning in Medical Imaging Analysis: A Comprehensive Review of Recent Advancements and Future Prospects. CoRR abs/2312.17004 (2023) - 2022
- [j1]Mandhatya Singh
IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired People. IEEE Access 10: 90726-90744 (2022) - 2021
- [c3]Joohi Chauhan
A Multi-path CNN for Automated Skin Lesion Segmentation. IJCNN 2021: 1-9 - 2020
- [c2]Joohi Chauhan
Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c1]Joohi Chauhan
Using Deep Learning to Classify Burnt Body Parts Images for Better Burns Diagnosis. SaMBa@MICCAI 2018: 25-32
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last updated on 2024-12-02 22:33 CET by the dblp team
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