Diffusion basis spectrum imaging provides insights into MS pathology

por Sun, Peng, George, Ajit, Perantie, Dana C., Trinkaus, Kathryn, Ye, Zezhong, Naismith, Robert T., Song, Sheng-Kwei, Cross, Anne H.
Publicado 2019

Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions

por Ye, Zezhong, George, Ajit, Wu, Anthony T., Niu, Xuan, Lin, Joshua, Adusumilli, Gautam, Naismith, Robert T., Cross, Anne H., Sun, Peng, Song, Sheng‐Kwei
Publicado 2020

Diffusion Basis Spectrum and Diffusion Tensor Imaging Detect Hippocampal Inflammation and Dendritic Injury in a Virus-Induced Mouse Model of Epilepsy

por Zhan, Jie, Lin, Tsen-Hsuan, Libbey, Jane E., Sun, Peng, Ye, Zezhong, Song, Chunyu, Wallendorf, Michael, Gong, Honghan, Fujinami, Robert S., Song, Sheng-Kwei
Publicado 2018

Diffusion histology imaging differentiates distinct pediatric brain tumor histology

por Ye, Zezhong, Srinivasa, Komal, Meyer, Ashely, Sun, Peng, Lin, Joshua, Viox, Jeffrey D., Song, Chunyu, Wu, Anthony T., Song, Sheng-Kwei, Dahiya, Sonika, Rubin, Joshua B.
Publicado 2021

Diffusion basis spectrum imaging measures anti-inflammatory and neuroprotective effects of fingolimod on murine optic neuritis

por Yang, Ruimeng, Lin, Tsen-Hsuan, Zhan, Jie, Lai, Shengsheng, Song, Chunyu, Sun, Peng, Ye, Zezhong, Wallendorf, Michael, George, Ajit, Cross, Anne H., Song, Sheng-Kwei
Publicado 2021

Diffusion basis spectrum imaging as an adjunct to conventional MRI leads to earlier diagnosis of high-grade glioma tumor progression versus treatment effect

por Han, Rowland H, Johanns, Tanner M, Roberts, Kaleigh F, Tao, Yu, Luo, Jingqin, Ye, Zezhong, Sun, Peng, Blum, Jacob, Lin, Tsen-Hsuan, Song, Sheng-Kwei, Kim, Albert H
Publicado 2023

Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning

por Boyd, Aidan, Ye, Zezhong, Prabhu, Sanjay, Tjong, Michael C., Zha, Yining, Zapaishchykova, Anna, Vajapeyam, Sridhar, Hayat, Hasaan, Chopra, Rishi, Liu, Kevin X., Nabavidazeh, Ali, Resnick, Adam, Mueller, Sabine, Haas-Kogan, Daphne, Aerts, Hugo J.W.L., Poussaint, Tina, Kann, Benjamin H.
Publicado 2023

LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL PREDICTION IN PATIENTS WITH PEDIATRIC LOW-GRADE GLIOMA

por Zapaishchykova, Anna, Hayat, Hasaan, Ye, Zezhong, Vajapeyam, Sridhar, Chopra, Rishi Balraj, Boyd, Aidan, Liu, Kevin X, Aerts, Hugo J W L, Bandopadhayay, Pratiti, Haas-Kogan, Daphne A, Nabavidazeh, Ali, Resnick, Adam C, Mueller, Sabine, Poussaint, Tina Y, Cooney, Tabitha M, Kann, Benjamin H
Publicado 2023

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

por Hosny, Ahmed, Bitterman, Danielle S, Guthier, Christian V, Qian, Jack M, Roberts, Hannah, Perni, Subha, Saraf, Anurag, Peng, Luke C, Pashtan, Itai, Ye, Zezhong, Kann, Benjamin H, Kozono, David E, Christiani, David, Catalano, Paul J, Aerts, Hugo J W L, Mak, Raymond H
Publicado 2022

Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

por Kazmierski, Michal, Welch, Mattea, Kim, Sejin, McIntosh, Chris, Rey-McIntyre, Katrina, Huang, Shao Hui, Patel, Tirth, Tadic, Tony, Milosevic, Michael, Liu, Fei-Fei, Ryczkowski, Adam, Kazmierska, Joanna, Ye, Zezhong, Plana, Deborah, Aerts, Hugo J.W.L., Kann, Benjamin H., Bratman, Scott V., Hope, Andrew J., Haibe-Kains, Benjamin
Publicado 2023

Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline

por Ye, Zezhong, Saraf, Anurag, Ravipati, Yashwanth, Hoebers, Frank, Zha, Yining, Zapaishchykova, Anna, Likitlersuang, Jirapat, Tishler, Roy B., Schoenfeld, Jonathan D., Margalit, Danielle N., Haddad, Robert I., Mak, Raymond H., Naser, Mohamed, Wahid, Kareem A., Sahlsten, Jaakko, Jaskari, Joel, Kaski, Kimmo, Mäkitie, Antti A., Fuller, Clifton D., Aerts, Hugo J.W.L., Kann, Benjamin H.
Publicado 2023

Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-esc...

por Kann, Benjamin H, Likitlersuang, Jirapat, Bontempi, Dennis, Ye, Zezhong, Aneja, Sanjay, Bakst, Richard, Kelly, Hillary R, Juliano, Amy F, Payabvash, Sam, Guenette, Jeffrey P, Uppaluri, Ravindra, Margalit, Danielle N, Schoenfeld, Jonathan D, Tishler, Roy B, Haddad, Robert, Aerts, Hugo J W L, Garcia, Joaquin J, Flamand, Yael, Subramaniam, Rathan M, Burtness, Barbara A, Ferris, Robert L
Publicado 2023

Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer

por Ye, Zezhong, Saraf, Anurag, Ravipati, Yashwanth, Hoebers, Frank, Catalano, Paul J., Zha, Yining, Zapaishchykova, Anna, Likitlersuang, Jirapat, Guthier, Christian, Tishler, Roy B., Schoenfeld, Jonathan D., Margalit, Danielle N., Haddad, Robert I., Mak, Raymond H., Naser, Mohamed, Wahid, Kareem A., Sahlsten, Jaakko, Jaskari, Joel, Kaski, Kimmo, Mäkitie, Antti A., Fuller, Clifton D., Aerts, Hugo J. W. L., Kann, Benjamin H.
Publicado 2023

Automated temporalis muscle quantification and growth charts for children through adulthood

por Zapaishchykova, Anna, Liu, Kevin X., Saraf, Anurag, Ye, Zezhong, Catalano, Paul J., Benitez, Viviana, Ravipati, Yashwanth, Jain, Arnav, Huang, Julia, Hayat, Hasaan, Likitlersuang, Jirapat, Vajapeyam, Sridhar, Chopra, Rishi B., Familiar, Ariana M., Nabavidazeh, Ali, Mak, Raymond H., Resnick, Adam C., Mueller, Sabine, Cooney, Tabitha M., Haas-Kogan, Daphne A., Poussaint, Tina Y., Aerts, Hugo J.W.L., Kann, Benjamin H.
Publicado 2023