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Damodar Reddy

Showing results (51-60 of 55) with videos related to

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Medical & Biological Engineering & Computing|September 27, 2018
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke riskMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Scientific Reports|August 16, 2014
In vivo magnetic resonance imaging of tumor protease activityMohammad Haris, Anup Singh, Imran Mohammed, et al.
Frontiers in Bioscience (Landmark Edition)|November 24, 2018
State-of-the-art review on deep learning in medical imagingMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Computers in Biology and Medicine|May 21, 2018
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohortMainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
Pageof 6

Showing results (51-60 of 55) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 55 results.
Medical & Biological Engineering & Computing|September 27, 2018
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke riskMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Scientific Reports|August 16, 2014
In vivo magnetic resonance imaging of tumor protease activityMohammad Haris, Anup Singh, Imran Mohammed, et al.
Frontiers in Bioscience (Landmark Edition)|November 24, 2018
State-of-the-art review on deep learning in medical imagingMainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, et al.
Computers in Biology and Medicine|May 21, 2018
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohortMainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, et al.
European Journal of Radiology|April 22, 2019
The present and future of deep learning in radiologyLuca Saba, Mainak Biswas, Venkatanareshbabu Kuppili, et al.
Pageof 6