Mr. Yohannes Tsehay Profile

Yohannes Tsehay

at National Institutes of Health

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Author

Publications (4)

Proceedings Article | 26 February 2021 Poster + Paper

Automatic detection of cotton balls during brain surgery: where deep learning meets ultrasound imaging to tackle foreign objects

Smruti Mahapatra, Manish Balamurugan, Kathryn Chung, Venkat Kuppoor, Eli Curry, Fariba Aghabaglou, Tarana Parvez Kaovasia, Molly Acord, Ana Ainechi, Jeong Hun Kim, Yohannes Tsehay, Christina Diana Ghinda, Jennifer Son, Aliaksei Pustavoitau, Betty Tyler, Shenandoah Robinson, Nicholas Theodore, Henry Brem, Judy Huang, Amir Manbachi

Proceedings Volume 11602, 116021C (2021) https://doi.org/10.1117/12.2580887

KEYWORDS: Ultrasonography, Tissues, Surgery, Brain, Object recognition, Environmental management, Blood

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Proceedings Article | 15 February 2021 Presentation + Paper

Development of a Smart Hospital Assistant: integrating artificial intelligence and a voice-user interface for improved surgical outcomes

Jeong Hun Kim, Richard Um, Jonathan Liu, Japesh Patel, Eli Curry, Fariba Aghabaglou, Smruti Mahapatra, Ana Ainechi, Yohannes Tsehay, Jeff Ehresman, Brian Hwang, Betty Tyler, Rajiv Iyer, Nicholas Theodore, Amir Manbachi

Proceedings Volume 11601, 116010U (2021) https://doi.org/10.1117/12.2580995

KEYWORDS: Telecommunications, Systems engineering, Surgery, Magnetic resonance imaging, Imaging systems, Control systems, Cameras

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SPIE Journal Paper | 12 June 2017

Detection of prostate cancer in multiparametric MRI using random forest with instance weighting

Nathan Lay, Yohannes Tsehay, Matthew Greer, Baris Turkbey, Jin Tae Kwak, Peter Choyke, Peter Pinto, Bradford Wood, Ronald Summers

JMI, Vol. 4, Issue 02, 024506, (June 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.024506

KEYWORDS: Prostate cancer, Image filtering, Magnetic resonance imaging, Prostate, Computer aided diagnosis and therapy, Feature extraction, Computer aided design, Sensors, Visibility

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Proceedings Article | 3 March 2017 Presentation + Paper

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

Yohannes Tsehay, Nathan Lay, Holger Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter Pinto, Brad Wood, Ronald Summers

Proceedings Volume 10134, 1013405 (2017) https://doi.org/10.1117/12.2254423

KEYWORDS: Tumors, Solid modeling, Biopsy, Cancer, Prostate, Neural networks, Computer aided diagnosis and therapy, Edge detection, Principal component analysis, Computer aided design, Prostate cancer, Magnetic resonance imaging, CAD systems, Evolutionary algorithms

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