Computer‐aided diagnosis in the era of deep learning von Chan, Heang‐Ping, Hadjiiski, Lubomir M., Samala, Ravi K.

Volltext

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography von Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Wei, Jun, Cha, Kenny

Volltext

CAD and AI for breast cancer-recent development and challenges von Chan, Heang-Ping, Samala, Ravi K, Hadjiiski, Lubomir M

Volltext

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets von Cha, Kenny H., Hadjiiski, Lubomir, Samala, Ravi K., Chan, Heang-Ping, Caoili, Elaine M., Cohan, Richard H.

Volltext

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets von Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Richter, Caleb D., Cha, Kenny H.

Volltext

Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms von Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Cha, Kenny H, Richter, Caleb D

Volltext

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning von Cha, Kenny H., Hadjiiski, Lubomir, Chan, Heang-Ping, Weizer, Alon Z., Alva, Ajjai, Cohan, Richard H., Caoili, Elaine M., Paramagul, Chintana, Samala, Ravi K.

Volltext

U‐Net based deep learning bladder segmentation in CT urography von Ma, Xiangyuan, Hadjiiski, Lubomir M., Wei, Jun, Chan, Heang‐Ping, Cha, Kenny H., Cohan, Richard H., Caoili, Elaine M., Samala, Ravi, Zhou, Chuan, Lu, Yao

Volltext

AI in medical physics: guidelines for publication von El Naqa, Issam, Boone, John M., Benedict, Stanley H., Goodsitt, Mitchell M., Chan, Heang‐Ping, Drukker, Karen, Hadjiiski, Lubomir, Ruan, Dan, Sahiner, Berkman

Volltext

Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis von Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb, Cha, Kenny

Volltext

Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification von Samala, Ravi K., Chan, Heang‐Ping, Hadjiiski, Lubomir, Helvie, Mark A.

Volltext

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging von Hadjiiski, Lubomir, Cha, Kenny, Chan, Heang‐Ping, Drukker, Karen, Morra, Lia, Näppi, Janne J., Sahiner, Berkman, Yoshida, Hiroyuki, Chen, Quan, Deserno, Thomas M., Greenspan, Hayit, Huisman, Henkjan, Huo, Zhimin, Mazurchuk, Richard, Petrick, Nicholas, Regge, Daniele, Samala, Ravi, Summers, Ronald M., Suzuki, Kenji, Tourassi, Georgia, Vergara, Daniel, Armato, Samuel G.

Volltext

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images von Wang, Yifan, Zhou, Chuan, Chan, Heang‐Ping, Hadjiiski, Lubomir M., Chughtai, Aamer, Kazerooni, Ella A.

Volltext

Urinary bladder cancer staging in CT urography using machine learning von Garapati, Sankeerth S., Hadjiiski, Lubomir, Cha, Kenny H., Chan, Heang‐Ping, Caoili, Elaine M., Cohan, Richard H., Weizer, Alon, Alva, Ajjai, Paramagul, Chintana, Wei, Jun, Zhou, Chuan

Volltext

Effect of source blur on digital breast tomosynthesis reconstruction von Zheng, Jiabei, Fessler, Jeffrey A., Chan, Heang‐Ping

Volltext

Classifier performance prediction for computer-aided diagnosis using a limited dataset von Sahiner, Berkman, Chan, Heang-Ping, Hadjiiski, Lubomir

Volltext

Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction von Zheng, Jiabei, Fessler, Jeffrey A., Chan, Heang-Ping

Volltext

Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer von Chan, Heang-Ping

Volltext

A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis von Zhang, Yiheng, Chan, Heang-Ping, Sahiner, Berkman, Wei, Jun, Goodsitt, Mitchell M., Hadjiiski, Lubomir M., Ge, Jun, Zhou, Chuan

Volltext

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning von Li, Songfeng, Wei, Jun, Chan, Heang-Ping, Helvie, Mark A, Roubidoux, Marilyn A, Lu, Yao, Zhou, Chuan, Hadjiiski, Lubomir M, Samala, Ravi K

Volltext