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Disambiguation of "Cha, Kenny H."

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Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.

, , , , , and . IEEE Trans. Med. Imaging, 38 (3): 686-696 (2019)

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James Kenny

Dorothy Kenny

Kenny Saul

Kenny Kögel

Maria Cha

 

Other publications of authors with the same name

Deciphering deep ensembles for lung nodule analysis., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Bladder cancer segmentation using U-Net-based deep-learning., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)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)Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN., , , , , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 523-531. Springer, (2020)Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support., , , , , , , , , and 4 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets., , , , , and . IEEE Trans. Med. Imaging, 38 (3): 686-696 (2019)Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift., , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160S. SPIE, (2020)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)