Quantitative Imaging Network: 12 Years of Accomplishments

por Hadjiiski, Lubomir M., Nordstrom, Robert J.
Publicado 2020

Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation

por ZHOU, CHUAN, CHAN, HEANG-PING, HADJIISKI, LUBOMIR M., CHUGHTAI, AAMER
Publicado 2022

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images

por Wang, Yifan, Zhou, Chuan, Chan, Heang‐Ping, Hadjiiski, Lubomir M., Chughtai, Aamer, Kazerooni, Ella A.
Publicado 2022

Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning

por Kushwaha, Aman, Mourad, Rami F., Heist, Kevin, Tariq, Humera, Chan, Heang-Ping, Ross, Brian D., Chenevert, Thomas L., Malyarenko, Dariya, Hadjiiski, Lubomir M.
Publicado 2023

Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study

por Cha, Kenny H., Hadjiiski, Lubomir M., Samala, Ravi K., Chan, Heang-Ping, Cohan, Richard H., Caoili, Elaine M., Paramagul, Chintana, Alva, Ajjai, Weizer, Alon Z.
Publicado 2016

Deep Learning Approach for Assessment of Bladder Cancer Treatment Response

por Wu, Eric, Hadjiiski, Lubomir M., Samala, Ravi K., Chan, Heang-Ping, Cha, Kenny H., Richter, Caleb, Cohan, Richard H., Caoili, Elaine M., Paramagul, Chintana, Alva, Ajjai, Weizer, Alon Z.
Publicado 2019

Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support

por Hadjiiski, Lubomir M., Cha, Kenny H., Cohan, Richard H., Chan, Heang-Ping, Caoili, Elaine M., Davenport, Matthew S., Samala, Ravi K., Weizer, Alon Z., Alva, Ajjai, Kirova-Nedyalkova, Galina, Shampain, Kimberly, Meyer, Nathaniel, Barkmeier, Daniel, Woolen, Sean A, Shankar, Prasad R., Francis, Isaac R., Palmbos, Phillip L.
Publicado 2020