default search action
Kenny H. Cha
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [c38]Xianglong Wang
, Berkman Sahiner, Christopher G. Scully, Kenny H. Cha:
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks. EMBC 2023: 1-5 - [c37]Kenny H. Cha:
Software as a Medical Device (SaMD) at the FDA: Regulatory Science and Review. JVA 2023: 71-74 - [c36]Jonathan Clever, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer segmentation using U-Net-based deep-learning. Medical Imaging: Computer-Aided Diagnosis 2023 - [c35]Di Sun
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics. Medical Imaging: Computer-Aided Diagnosis 2023 - [c34]Rain Tarango, Lubomir M. Hadjiiski, Ajjai Alva, Heang-Ping Chan
Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j2]Trinity Cheng, Pei-Ju Chin
Profiling the BLAST bioinformatics application for load balancing on high-performance computing clusters. BMC Bioinform. 23(1): 544 (2022) - [c33]Ravi K. Samala
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis 2022 - [c32]Di Sun
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. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [c31]Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li:
Assessment of bone fragility in projection images using radiomic features. Medical Imaging: Computer-Aided Diagnosis 2021 - [c30]Lubomir M. Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan
Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c29]Alexej Gossmann
Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift. Medical Imaging: Computer-Aided Diagnosis 2020 - [c28]Zahra Ghanian
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. MLMI@MICCAI 2020: 523-531 - [c27]Kenny H. Cha, Alexej Gossmann
Supplementing training with data from a shifted distribution for machine learning classifiers: adding more cases may not always help. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160S
2010 – 2019
- 2019
- [j1]Ravi K. Samala
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 38(3): 686-696 (2019) - [c26]Dhanuj Gandikota, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system. Medical Imaging: Computer-Aided Diagnosis 2019: 109500W - [c25]Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan
2D and 3D bladder segmentation using U-Net-based deep-learning. Medical Imaging: Computer-Aided Diagnosis 2019: 109500Y - [c24]Eric Wu, Lubomir M. Hadjiiski, Ravi K. Samala
Deep learning based bladder cancer treatment response assessment. Medical Imaging: Computer-Aided Diagnosis 2019: 109503D - [c23]Kenny H. Cha, Nicholas Petrick, Aria Pezeshk, Christian G. Graff
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images. Medical Imaging: Computer-Aided Diagnosis 2019: 1095004 - 2018
- [c22]Ravi K. Samala
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2018: 105750Q - [c21]Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network. Medical Imaging: Computer-Aided Diagnosis 2018: 105751V - [c20]Marshall N. Gordon, Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Bladder cancer treatment response assessment with radiomic, clinical and radiologist semantic features. Medical Imaging: Computer-Aided Diagnosis 2018: 105751Y - [c19]Dhanuj Gandikota, Lubomir M. Hadjiiski, Kenny H. Cha, Heang-Ping Chan
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system. Medical Imaging: Computer-Aided Diagnosis 2018: 105752B - [c18]Caleb D. Richter, Ravi K. Samala
Generalization error analysis: deep convolutional neural network in mammography. Medical Imaging: Computer-Aided Diagnosis 2018: 1057520 - [c17]Ravi K. Samala
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2018: 1057521 - [c16]Kenny H. Cha, Lubomir M. Hadjiiski, Heang-Ping Chan
Computer-aided detection of bladder wall thickening in CT urography (CTU). Medical Imaging: Computer-Aided Diagnosis 2018: 1057529 - 2017
- [c15]Lubomir M. Hadjiiski
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. Medical Imaging: Computer-Aided Diagnosis 2017: 101341Z - [c14]Marshall Gordon, Lubomir M. Hadjiiski
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. Medical Imaging: Computer-Aided Diagnosis 2017: 1013402 - [c13]Kenny H. Cha
Computer-aided detection of bladder masses in CT urography (CTU). Medical Imaging: Computer-Aided Diagnosis 2017: 1013403 - [c12]Kenny H. Cha
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. Medical Imaging: Computer-Aided Diagnosis 2017: 1013404 - 2016
- [c11]Ravi K. Samala
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2016: 97850Y - [c10]Trevor Exell, Lubomir M. Hadjiiski
Automatic detection of ureter lesions in CT urography. Medical Imaging: Computer-Aided Diagnosis 2016: 97851O - [c9]Sankeerth S. Garapati, Lubomir M. Hadjiiski
Automatic staging of bladder cancer on CT urography. Medical Imaging: Computer-Aided Diagnosis 2016: 97851G - [c8]Ravi K. Samala
Reference state estimation of breast computed tomography for registration with digital mammography. Medical Imaging: Computer-Aided Diagnosis 2016: 97851U - [c7]Kenny H. Cha
Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU). Medical Imaging: Computer-Aided Diagnosis 2016: 97853W - [c6]Kenny H. Cha, Lubomir M. Hadjiiski, Ravi K. Samala, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili:
Comparison of bladder segmentation using deep-learning convolutional neural network with and without level sets. Medical Imaging: Computer-Aided Diagnosis 2016: 978512 - [c5]Ravi K. Samala
First and second-order features for detection of masses in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2016: 978523 - 2015
- [c4]Kenny H. Cha
Computer-aided detection of bladder mass within contrast-enhanced region of CTU. Medical Imaging: Computer-Aided Diagnosis 2015: 94141Q - [c3]Duncan Fairbanks, Lubomir M. Hadjiiski
Ureter segmentation in CT urography (CTU) by COMPASS with multiscale Hessian enhancement. Medical Imaging: Computer-Aided Diagnosis 2015: 94141S - 2014
- [c2]Kenny H. Cha
Comparison of CLASS and ITK-SNAP in segmentation of urinary bladder in CT urography. Medical Imaging: Computer-Aided Diagnosis 2014: 90351F - [c1]Kenny H. Cha
Segmentation of urinary bladder in CT urography (CTU) using CLASS with enhanced contour conjoint procedure. Medical Imaging: Computer-Aided Diagnosis 2014: 90352P
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: