Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Raymond Y. Huang"'
Autor:
John Sollee, Jian Peng, Katherine E. Warren, Jerrold L. Boxerman, Tina Young Poussaint, Daniel D Kim, Xinping Xun, Patrick Y. Wen, Chengzhang Zhu, Beiji Zou, Jayashree Kalpathy-Cramer, Jing Wu, Deepa Dalal, Jiaer Huang, Chen Zhang, Harrison X. Bai, Xiaowei Zeng, Jay B. Patel, Ke Jin, Lisa J. States, Li Yang, Ken Chang, Raymond Y. Huang, Hao Zhou, Xue Feng
Publikováno v:
Neuro Oncol
Background Longitudinal measurement of tumor burden with magnetic resonance imaging (MRI) is an essential component of response assessment in pediatric brain tumors. We developed a fully automated pipeline for the segmentation of tumors in pediatric
Autor:
Meghan Cifrino, Lakshmi Nayak, Jennifer Stefanik, Wenya Linda Bi, Christine McCluskey, Thomas Graillon, Ian F. Dunn, Patrick Y. Wen, David A. Reardon, Deborah LaFrankie, Keith L. Ligon, Alona Muzikansky, Joseph Driver, Ugonma Chukwueke, David Meredith, Andrew D. Cherniack, Rameen Beroukhim, Ricardo McFaline-Figueroa, Ossama Al-Mefty, Christina Taubert, Sandro Santagata, Samantha E Hoffman, Lisa Doherty, Mikael L. Rinne, Raymond Y. Huang, Sarah C. Gaffey, E. Antonio Chiocca, Yvonne Y. Li, Eudocia Q. Lee, Ziming Du
Publikováno v:
Neuro-Oncology. 24:101-113
Background Programmed death ligand 1 (PD-L1) contributes to tumor immunosuppression and is upregulated in aggressive meningiomas. We performed a phase II study of nivolumab, a programmed death 1 (PD-1) blocking antibody among patients with grade ≥2
Autor:
Xiao Tian Li, Raymond Y. Huang
Publikováno v:
Neuro-oncology Advances
Radiomics is a novel technique in which quantitative phenotypes or features are extracted from medical images. Machine learning enables analysis of large quantities of medical imaging data generated by radiomic feature extraction. A growing number of
Autor:
Jing Wu, Raymond Y. Huang, Subhanik Purkayastha, Ken Chang, Ian Pan, Iris Lee, Harrison X. Bai, Yeyu Cai, Thomas Yi, Enhua Xiao, Robin Wang, Thi My Linh Tran, Tao Liu, Zishu Zhang, Shaolei Lu, Rong Hu, Paul J. Zhang
Publikováno v:
European Radiology. 31:4960-4971
There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed a deep learning algorithm that distinguishes benign from malignant ovarian lesion by applying a convol
Autor:
Benjamin M. Ellingson, Katharine E. Yen, Sung Choe, Robert J. Young, Elizabeth A. Maher, Gregory M. Cote, Matthias Holdhoff, Patrick Y. Wen, Raymond Y. Huang, Bin Fan, Lori Steelman, Ingo K. Mellinghoff, Timothy F. Cloughesy, Macarena I. de la Fuente, Liewen Jiang, Shuchi Sumant Pandya, Min Lu, Chris Bowden, Filip Janku, Mehdi Touat, Howard A. Burris
Publikováno v:
Journal of Clinical Oncology. 38:3398-3406
PURPOSE Diffuse gliomas are malignant brain tumors that include lower-grade gliomas (LGGs) and glioblastomas. Transformation of low-grade glioma into a higher tumor grade is typically associated with contrast enhancement on magnetic resonance imaging
Autor:
Thi My Linh Tran, Ping-Feng Hu, Yi-Hui Li, Zeng Xiong, Ji Mei, Ben Hsieh, Qizhi Yu, Dongcui Wang, Fei-Xian Fu, Ronnie Sebro, Weihua Liao, Ji Whae Choi, Raymond Y. Huang, Kasey Halsey, Lin-Bo Shi, Michael K. Atalay, Harrison X. Bai, Xiao-Long Jiang, Ken Chang, Qiuhua Zeng, Ian Pan, Robin Wang
Publikováno v:
Radiology
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige
Autor:
Christine Kim, Raymond Y. Huang, Jacob C. Mandell, Glenn C. Gaviola, Thomas C. Lee, Kirstin M. Small, Nityanand Miskin, Ged G. Wieschhoff
Publikováno v:
Current Problems in Diagnostic Radiology. 49:182-187
Background and Purpose The purpose of this study is to assess the differences in degenerative spine MRI reporting between subspecialty-trained attending neuroradiologists and musculoskeletal radiologists (MSK) at a single institution, academic medica
Autor:
Elizabeth R. Gerstner, Susan M. Chang, Patrick Y. Wen, Benjamin M. Ellingson, Timothy F. Cloughesy, John Kim, Robert J. Young, Ingo K. Mellinghoff, Katherine B. Peters, Florent Tixier, Raymond Y. Huang, Wei Wang, Rasheed Nawaz, Tracy Luks, David Schiff, Hyemin Um, Harini Veeraraghavan
Publikováno v:
Neuro Oncol
Background Lower-grade gliomas (LGGs) with isocitrate dehydrogenase 1 and/or 2 (IDH1/2) mutations have long survival times, making evaluation of treatment efficacy difficult. We investigated the volumetric growth rate of IDH mutant gliomas before and
Autor:
Florence Coulet, Jill S. Barnholtz-Sloan, Marc Sanson, Adam Boynton, Aniket Shetty, Yvonne Y. Li, Tracy T. Batchelor, Marine Giry, Garrett M. Frampton, Alexandre Carpentier, Peter J. Park, Franck Bielle, Eudocia Q. Lee, Khê Hoang-Xuan, Jean-Yves Delattre, Leon Taquet, Philippe Cornu, Erell Guillerm, Andrew D. Cherniack, Liam F. Spurr, Robert E. Jones, Mehdi Touat, Rameen Beroukhim, Patrick Y. Wen, J. Bryan Iorgulescu, David Meredith, Kristine Pelton, Caroline Dehais, Radwa Sharaf, Sandro Santagata, Alex Duval, Kenin Qian, Nadia Younan, Florence Laigle-Donadey, Patricia Ho, J Ricardo McFaline-Figueroa, Juliana Bonardi, Mary Jane Lim-Fat, David A. Reardon, Capucine Baldini, Naomi Currimjee, Shakti H. Ramkissoon, Caroline Houillier, Katie Pricola Fehnel, Seth Malinowski, Dimitri Psimaras, Cristina Birzu, Charlotte Bellamy, Isidro Cortes-Ciriano, Keith L. Ligon, Jack Geduldig, Karima Mokhtari, Maite Verreault, Lee A. Albacker, Pratiti Bandopadhayay, Bertrand Mathon, Susan N. Chi, E. Antonio Chiocca, Agusti Alentorn, Dean Pavlick, Frank Dubois, Sangita Pal, Samy Ammari, Brian M. Alexander, Arnab Chakravarti, Azra H. Ligon, Sanda Alexandrescu, Ahmed Idbaih, Frédéric Beuvon, Lakshmi Nayak, Laurent Capelle, Aurélien Marabelle, Daphne A. Haas-Kogan, Raymond Y. Huang, Craig L. Bohrson, Wenya Linda Bi, Ruben Ferrer-Luna, Kin-Hoe Chow
Publikováno v:
Nature
A high tumour mutational burden (hypermutation) is observed in some gliomas1–5; however, the mechanisms by which hypermutation develops and whether it predicts the response to immunotherapy are poorly understood. Here we comprehensively analyse the
Autor:
Martin Vallières, Alvin C. Silva, Zishu Zhang, Subhanik Purkayastha, Yong Fan, Ken Chang, Terence P. Gade, Raymond Y. Huang, Michael C. Soulen, S. William Stavropoulos, Beiji Zou, I. Xi, Paul J. Zhang, Marcello Chang, Robin Wang, Peiman Habibollahi, Harrison X. Bai, Yijun Zhao
Publikováno v:
Clinical Cancer Research. 26:1944-1952
Purpose: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign renal mass and malignant tumor. We aimed to develop a deep learning model that distinguishes benign renal tumors from renal cell c