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Kenny H Cha

Showing results (1-10 of 22) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks<sup></sup>Xianglong Wang, Berkman Sahiner, Christopher G Scully, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 29, 2024
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shiftAlexis Burgon, Berkman Sahiner, Nicholas Petrick, et al.
IEEE Journal of Biomedical and Health Informatics|November 5, 2024
Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation MethodsAlexis Burgon, Yuhang Zhang, Nicholas Petrick, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningKenny H Cha, Nicholas Petrick, Aria Pezeshk, et al.
IEEE Transactions on Medical Imaging|October 18, 2019
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural NetsRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Medical Physics|April 3, 2016
Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level setsKenny H Cha, Lubomir Hadjiiski, Ravi K Samala, et al.
Physics in Medicine and Biology|October 17, 2017
Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammogramsRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Medical Physics|October 28, 2018
Deep learning in medical imaging and radiation therapyBerkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, et al.
Medical Physics|December 7, 2018
Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urographyMarshall N Gordon, Lubomir M Hadjiiski, Kenny H Cha, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 14, 2021
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatmentNicholas Petrick, Shazia Akbar, Kenny H Cha, et al.
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Showing results (1-10 of 22) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks<sup></sup>Xianglong Wang, Berkman Sahiner, Christopher G Scully, et al.
Journal of Medical Imaging (Bellingham, Wash.)|January 29, 2024
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shiftAlexis Burgon, Berkman Sahiner, Nicholas Petrick, et al.
IEEE Journal of Biomedical and Health Informatics|November 5, 2024
Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation MethodsAlexis Burgon, Yuhang Zhang, Nicholas Petrick, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learningKenny H Cha, Nicholas Petrick, Aria Pezeshk, et al.
IEEE Transactions on Medical Imaging|October 18, 2019
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural NetsRavi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, et al.
Medical Physics|April 3, 2016
Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level setsKenny H Cha, Lubomir Hadjiiski, Ravi K Samala, et al.
Physics in Medicine and Biology|October 17, 2017
Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammogramsRavi K Samala, Heang-Ping Chan, Lubomir M Hadjiiski, et al.
Medical Physics|October 28, 2018
Deep learning in medical imaging and radiation therapyBerkman Sahiner, Aria Pezeshk, Lubomir M Hadjiiski, et al.
Medical Physics|December 7, 2018
Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urographyMarshall N Gordon, Lubomir M Hadjiiski, Kenny H Cha, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 14, 2021
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatmentNicholas Petrick, Shazia Akbar, Kenny H Cha, et al.
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