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pro vyhledávání: '"Papineni, Vijay Ram"'
Autor:
Sanjeev, Santosh, Maani, Fadillah Adamsyah, Abzhanov, Arsen, Papineni, Vijay Ram, Almakky, Ibrahim, Papież, Bartłomiej W., Yaqub, Mohammad
With the emergence of vision language models in the medical imaging domain, numerous studies have focused on two dominant research activities: (1) report generation from Chest X-rays (CXR), and (2) synthetic scan generation from text or reports. Desp
Externí odkaz:
http://arxiv.org/abs/2403.13343
Autor:
Hashmi, Anees Ur Rehman, Almakky, Ibrahim, Qazi, Mohammad Areeb, Sanjeev, Santosh, Papineni, Vijay Ram, Jagdish, Jagalpathy, Yaqub, Mohammad
Large-scale generative models have demonstrated impressive capabilities in producing visually compelling images, with increasing applications in medical imaging. However, they continue to grapple with hallucination challenges and the generation of an
Externí odkaz:
http://arxiv.org/abs/2403.09240
Autor:
Sanjeev, Santosh, Khatib, Salwa K. Al, Shaaban, Mai A., Almakky, Ibrahim, Papineni, Vijay Ram, Yaqub, Mohammad
Previous deep learning efforts have focused on improving the performance of Pulmonary Embolism(PE) diagnosis from Computed Tomography (CT) scans using Convolutional Neural Networks (CNN). However, the features from CT scans alone are not always suffi
Externí odkaz:
http://arxiv.org/abs/2308.14050
Publikováno v:
In Journal of Clinical Orthopaedics and Trauma January 2024 48
Akademický článek
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Autor:
Mettu, Sindhura, Gavvala, Sai Niharika, Shirodkar, K., Iyengar, Karthikeyan Parthasarathy, Papineni, Vijay Ram Kumar, Botchu, Rajesh
Publikováno v:
Indian Journal of Radiology & Imaging; Jul2024, Vol. 34 Issue 3, p558-561, 4p
Autor:
Chapala, Shashank, Papineni, Vijay Ram Kumar, Shah, Asad Rabbani, Ballal, Moez, Iyengar, Karthikeyan P., Botchu, Rajesh
Publikováno v:
The Indian Journal of Radiology & Imaging; 20240101, Issue: Preprints
Autor:
Hussein, Mohsin, Hanumanthu, Manasa Mayukha, Shirodkar, Kapil, Papineni, Vijay Ram Kumar, Rahij, Hasan, Velicheti, Sandeep, Iyengar, Karthikeyan P., Botchu, Rajesh
Publikováno v:
Skeletal Radiology; Jan2026, Vol. 54 Issue 1, p1-15, 15p
The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 93 full papers
This book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Comput