Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kondepudi, Akhil"'
Autor:
Jiang, Cheng, Gedeon, Alexander, Lyu, Yiwei, Landgraf, Eric, Zhang, Yufeng, Hou, Xinhai, Kondepudi, Akhil, Chowdury, Asadur, Lee, Honglak, Hollon, Todd
Volumetric biomedical microscopy has the potential to increase the diagnostic information extracted from clinical tissue specimens and improve the diagnostic accuracy of both human pathologists and computational pathology models. Unfortunately, barri
Externí odkaz:
http://arxiv.org/abs/2404.09425
Autor:
Lyu, Yiwei, Cha, Sung Jik, Jiang, Cheng, Chowdury, Asadur, Hou, Xinhai, Harake, Edward, Kondepudi, Akhil, Freudiger, Christian, Lee, Honglak, Hollon, Todd C.
High-quality, high-resolution medical imaging is essential for clinical care. Raman-based biomedical optical imaging uses non-ionizing infrared radiation to evaluate human tissues in real time and is used for early cancer detection, brain tumor diagn
Externí odkaz:
http://arxiv.org/abs/2403.13680
Autor:
Hou, Xinhai, Jiang, Cheng, Kondepudi, Akhil, Lyu, Yiwei, Chowdury, Asadur, Lee, Honglak, Hollon, Todd C.
Whole slide imaging is fundamental to biomedical microscopy and computational pathology. Previously, learning representations for gigapixel-sized whole slide images (WSIs) has relied on multiple instance learning with weak labels, which do not annota
Externí odkaz:
http://arxiv.org/abs/2402.06188
Autor:
Hollon, Todd C., Jiang, Cheng, Chowdury, Asadur, Nasir-Moin, Mustafa, Kondepudi, Akhil, Aabedi, Alexander, Adapa, Arjun, Al-Holou, Wajd, Heth, Jason, Sagher, Oren, Lowenstein, Pedro, Castro, Maria, Wadiura, Lisa Irina, Widhalm, Georg, Neuschmelting, Volker, Reinecke, David, von Spreckelsen, Niklas, Berger, Mitchel S., Hervey-Jumper, Shawn L., Golfinos, John G., Snuderl, Matija, Camelo-Piragua, Sandra, Freudiger, Christian, Lee, Honglak, Orringer, Daniel A.
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic testing for patients with brain tumors is limited, complicating surgica
Externí odkaz:
http://arxiv.org/abs/2303.13610
Autor:
Jiang, Cheng, Hou, Xinhai, Kondepudi, Akhil, Chowdury, Asadur, Freudiger, Christian W., Orringer, Daniel A., Lee, Honglak, Hollon, Todd C.
Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has focused on self-supervised representation learning (SSL) methods deve
Externí odkaz:
http://arxiv.org/abs/2303.01605
Autor:
Jiang, Cheng, Chowdury, Asadur, Hou, Xinhai, Kondepudi, Akhil, Freudiger, Christian W., Conway, Kyle, Camelo-Piragua, Sandra, Orringer, Daniel A., Lee, Honglak, Hollon, Todd C.
Accurate intraoperative diagnosis is essential for providing safe and effective care during brain tumor surgery. Our standard-of-care diagnostic methods are time, resource, and labor intensive, which restricts access to optimal surgical treatments. T
Externí odkaz:
http://arxiv.org/abs/2206.08439
Autor:
Jiang, Cheng, Bhattacharya, Abhishek, Linzey, Joseph, Joshi, Rushikesh S., Cha, Sung Jik, Srinivasan, Sudharsan, Alber, Daniel, Kondepudi, Akhil, Urias, Esteban, Pandian, Balaji, Al-Holou, Wajd, Sullivan, Steve, Thompson, B. Gregory, Heth, Jason, Freudiger, Chris, Khalsa, Siri, Pacione, Donato, Golfinos, John G., Camelo-Piragua, Sandra, Orringer, Daniel A., Lee, Honglak, Hollon, Todd
Publikováno v:
Neurosurgery 90 (6), 758-767, 2022
Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor diversity and lack of intraoperative pathology resources. Objective: T
Externí odkaz:
http://arxiv.org/abs/2108.03555
Autor:
Lee, Soo Jung1,2 (AUTHOR), Kondepudi, Akhil1,2 (AUTHOR), Young, Kelly Z.1,2 (AUTHOR), Zhang, Xiaojie1,2 (AUTHOR), Cartee, Naw May Pearl1,2 (AUTHOR), Chen, Jijun1,2,3 (AUTHOR), Jang, Krystal Yujin1 (AUTHOR), Xu, Gang3 (AUTHOR), Borjigin, Jimo1,3 (AUTHOR), Wang, Michael M.1,2,3 (AUTHOR) micwang@umich.edu
Publikováno v:
PLoS ONE. 2/8/2023, Vol. 17 Issue 2, p1-20. 20p.
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Akademický článek
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