Kenny H. Cha
Orcid: 0000-0003-3847-7448
According to our database1,
Kenny H. Cha
authored at least 42 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.
IEEE J. Biomed. Health Informatics, February, 2025
2023
Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters.
BMC Bioinform., 2022
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.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Bladder cancer treatment response assessment using deep learning in CT with transfer learning.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Reference state estimation of breast computed tomography for registration with digital mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
First and second-order features for detection of masses in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU).
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014