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Disambiguation of "Cohan, Richard H."

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Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU).

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97853W. SPIE, (2016)

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Ricardo Cohan

Richard H Beal

H -H Kaatz

Florian H H Giesert

Lobna H airall h

 

Other publications of authors with the same name

Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500W. SPIE, (2019)Bladder wall segmentation using U-net based deep learning., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography., , , , , , , , , and 14 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Deep learning based bladder cancer treatment response assessment., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109503D. SPIE, (2019)Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Convolutional neural network-based decision support system for bladder cancer staging in CT urography: decision threshold estimation and validation., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Bladder cancer segmentation using U-Net-based deep-learning., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Segmentation of urinary bladder in CT Urography (CTU) using CLASS., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83150J. SPIE, (2012)2D and 3D bladder segmentation using U-Net-based deep-learning., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500Y. SPIE, (2019)Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)