Kenny H. Cha - RankMe

42 papers Journal 3Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods. IEEE J. Biomed. Health Informatics Alexis Burgon, Yuhang Zhang, Nicholas Petrick, Berkman Sahiner, Kenny H. Cha, Ravi K. Samala
2023	—	`conf`	AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. EMBC Xianglong Wang, Berkman Sahiner, Christopher G. Scully, Kenny H. Cha
2023	—	`conf`	Bladder cancer segmentation using U-Net-based deep-learning. Computer-Aided Diagnosis Jonathan Clever, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Ravi Samala, Chuan Zhou
2023	—	`conf`	Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. Computer-Aided Diagnosis Di Sun, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Ajjai Alva, Kenny H. Cha, Ravi K. Samala, Chuan Zhou
2023	—	`conf`	Software as a Medical Device (SaMD) at the FDA: Regulatory Science and Review. JVA Kenny H. Cha
2023	—	`conf`	Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Computer-Aided Diagnosis Rain Tarango, Lubomir M. Hadjiiski, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Ravi K. Samala, Alon Z. Weizer, Chuan Zhou, Monika Joshi, Yousef Zakharia
2023	—	`conf`	Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study. Digital and Computational Pathology Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen
2022	—	`conf`	Deciphering deep ensembles for lung nodule analysis. Computer-Aided Diagnosis Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick
2022	—	`conf`	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. Computer-Aided Diagnosis Di Sun, Lubomir M. Hadjiiski, Rohan Garje, Yousef Zakharia, Lauren Pomerantz, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip L. Palmbos, Alon Z. Weizer, Ravi K. Samala, Chuan Zhou, Martha M. Matuszak
2022	J	`jnl`	Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinform. Trinity Cheng, Pei-Ju Chin, Kenny H. Cha, Nicholas Petrick, Mike Mikailov
2021	—	`conf`	Assessment of bone fragility in projection images using radiomic features. Computer-Aided Diagnosis Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
2021	—	`conf`	Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kenny H. Cha, Ravi K. Samala, Phillip L. Palmbos, Alon Z. Weizer
2020	—	`conf`	Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner
2020	—	`conf`	Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift. Computer-Aided Diagnosis Alexej Gossmann, Kenny H. Cha, Xudong Sun
2020	—	`conf`	Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Image Perception, Observer Performance, and Technology Assessment Kenny H. Cha, Alexej Gossmann, Nicholas Petrick, Berkman Sahiner
2019	—	`conf`	2D and 3D bladder segmentation using U-Net-based deep-learning. Computer-Aided Diagnosis Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan, Kenny H. Cha, Richard H. Cohan, Elaine M. Caoili, Ravi Samala, Chuan Zhou, Yao Lu
2019	—	`conf`	Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system. Computer-Aided Diagnosis Dhanuj Gandikota, Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ravi Samala, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, Chuan Zhou
2019	J	`jnl`	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 Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb D. Richter, Kenny H. Cha
2019	—	`conf`	Deep learning based bladder cancer treatment response assessment. Computer-Aided Diagnosis Eric Wu, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Kenny H. Cha, Caleb Richter, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer
2019	—	`conf`	Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Computer-Aided Diagnosis Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff, Diksha Sharma, Andreu Badal, Aldo Badano, Berkman Sahiner
2018	—	`conf`	Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. Computer-Aided Diagnosis Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, Chuan Zhou
2018	—	`conf`	Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Alon Z. Weizer, Ajjai Alva
2018	—	`conf`	Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features. Computer-Aided Diagnosis Marshall N. Gordon, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer
2018	—	`conf`	Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
2018	—	`conf`	Computer-aided detection of bladder wall thickening in CT urography (CTU). Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Marshall N. Gordon, Ravi K. Samala
2018	—	`conf`	Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb Richter, Kenny H. Cha
2018	—	`conf`	Generalization error analysis: deep convolutional neural network in mammography. Computer-Aided Diagnosis Caleb D. Richter, Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha
2017	—	`conf`	Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer
2017	—	`conf`	Computer-aided detection of bladder masses in CT urography (CTU). Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ravi K. Samala
2017	—	`conf`	Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. Computer-Aided Diagnosis Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Ashok Srinivasan, Jun Wei, Chuan Zhou, Mark Prince, Silvana Papagerakis
2017	—	`conf`	Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. Computer-Aided Diagnosis Marshall Gordon, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Ravi Samala, Richard H. Cohan, Elaine M. Caoili
2016	—	`conf`	Automatic detection of ureter lesions in CT urography. Computer-Aided Diagnosis Trevor Exell, Lubomir M. Hadjiiski, Heang-Ping Chan, Kenny H. Cha, Elaine M. Caoili, Richard H. Cohan, Jun Wei, Chuan Zhou
2016	—	`conf`	Automatic staging of bladder cancer on CT urography. Computer-Aided Diagnosis Sankeerth S. Garapati, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Ajjai Alva, Chintana Paramagul, Jun Wei, Chuan Zhou
2016	—	`conf`	Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili
2016	—	`conf`	Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU). Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Alon Z. Weizer, Chuan Zhou
2016	—	`conf`	Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
2016	—	`conf`	First and second-order features for detection of masses in digital breast tomosynthesis. Computer-Aided Diagnosis Ravi K. Samala, Jun Wei, Heang-Ping Chan, Lubomir M. Hadjiiski, Kenny H. Cha, Mark A. Helvie
2016	—	`conf`	Reference state estimation of breast computed tomography for registration with digital mammography. Computer-Aided Diagnosis Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Ruola Ning, Kenny H. Cha, Mark A. Helvie
2015	—	`conf`	Computer-aided detection of bladder mass within contrast-enhanced region of CTU. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou
2015	—	`conf`	Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement. Computer-Aided Diagnosis Duncan Fairbanks, Lubomir M. Hadjiiski, Chuan Zhou, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Kenny H. Cha
2014	—	`conf`	Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Elaine M. Caoili, Richard H. Cohan, Chuan Zhou
2014	—	`conf`	Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure. Computer-Aided Diagnosis Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Chuan Zhou