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Sarthak Jain

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Articles

Computer Science > Computer Vision and Pattern Recognition

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By Wufei Ma, Sarthak Jain, Qiran Hu
| arxiv.org
Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism. However, how to enforce precise 3D structure and pose consistency in generated images remains challenging.
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Predictors of long-term seizure outcomes and perceived quality of life outcomes after temporal lobe epilepsy surgery

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By Sarthak Jain, Sujit Jagtap, Nilesh S. Kurwale
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT All the authors declare no conflict of interest for the present study. DATA AVAILABILITY STATEMENT The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Supporting Information Filename Description epd270313-sup-0001-AppendixS1.docxWord 2007 document , 13.6 KB Appendix S1 REFERENCES 1, , , , , , et al.
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Generative deep learning for foundational video translation in ultrasound

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By Nikolina Tomic, Roshni Bhatnagar, Sarthak Jain, Connor Lau Verified, Tien-Yu Liu, Laura Gambini, Rima Arnaout
| Nature Verified
Abstract For deep learning (DL) to realize its potential for medical image interpretation, attention to dataset content is critical. Ultrasound presents a particular challenge because, in addition to many views and structures, it includes several sub-modalities–such as grayscale and color flow doppler (CFD)–that are often imbalanced or confounding in clinical datasets. Image translation could help, but it has not yet succeeded in noisy ultrasound.
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