Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
Akkus, Zeynettin, Galimzianova, Alfiia, Hoogi, Assaf, Rubin, Daniel L., Erickson, Bradley J.
Published in Journal of digital imaging (01.08.2017)
Published in Journal of digital imaging (01.08.2017)
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Journal Article
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
Yamashita, Rikiya, Long, Jin, Longacre, Teri, Peng, Lan, Berry, Gerald, Martin, Brock, Higgins, John, Rubin, Daniel L, Shen, Jeanne
Published in The lancet oncology (01.01.2021)
Published in The lancet oncology (01.01.2021)
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Journal Article
Distributed deep learning networks among institutions for medical imaging
Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L, Kalpathy-Cramer, Jayashree
Published in Journal of the American Medical Informatics Association : JAMIA (01.08.2018)
Published in Journal of the American Medical Informatics Association : JAMIA (01.08.2018)
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Journal Article
Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs
Dunnmon, Jared A, Yi, Darvin, Langlotz, Curtis P, Ré, Christopher, Rubin, Daniel L, Lungren, Matthew P
Published in Radiology (01.02.2019)
Published in Radiology (01.02.2019)
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Journal Article
A curated mammography data set for use in computer-aided detection and diagnosis research
Lee, Rebecca Sawyer, Gimenez, Francisco, Hoogi, Assaf, Miyake, Kanae Kawai, Gorovoy, Mia, Rubin, Daniel L.
Published in Scientific data (19.12.2017)
Published in Scientific data (19.12.2017)
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Journal Article
Localization of damage in progressive hydroxychloroquine retinopathy on and off the drug: inner versus outer retina, parafovea versus peripheral fovea
de Sisternes, Luis, Hu, Julia, Rubin, Daniel L, Marmor, Michael F
Published in Investigative ophthalmology & visual science (01.05.2015)
Published in Investigative ophthalmology & visual science (01.05.2015)
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Journal Article
Non―Small Cell Lung Cancer: Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data— Methods and Preliminary Results
GEVAERT, Olivier, JIAJING XU, HOANG, Chuong D, LEUNG, Ann N, YUE XU, QUON, Andrew, RUBIN, Daniel L, NAPEL, Sandy, PLEVRITIS, Sylvia K
Published in Radiology (01.08.2012)
Published in Radiology (01.08.2012)
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Journal Article
Uncovering interpretable potential confounders in electronic medical records
Zeng, Jiaming, Gensheimer, Michael F., Rubin, Daniel L., Athey, Susan, Shachter, Ross D.
Published in Nature communications (23.02.2022)
Published in Nature communications (23.02.2022)
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Journal Article
A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound
Lekadir, Karim, Galimzianova, Alfiia, Betriu, Angels, del Mar Vila, Maria, Igual, Laura, Rubin, Daniel L., Fernandez, Elvira, Radeva, Petia, Napel, Sandy
Published in IEEE journal of biomedical and health informatics (01.01.2017)
Published in IEEE journal of biomedical and health informatics (01.01.2017)
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Journal Article
Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images
Yamashita, Rikiya, Long, Jin, Saleem, Atif, Rubin, Daniel L., Shen, Jeanne
Published in Scientific reports (21.01.2021)
Published in Scientific reports (21.01.2021)
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Journal Article
Fully Automated Prediction of Geographic Atrophy Growth Using Quantitative Spectral-Domain Optical Coherence Tomography Biomarkers
Niu, Sijie, PhD, de Sisternes, Luis, PhD, Chen, Qiang, PhD, Rubin, Daniel L., MD, PhD, Leng, Theodore, MD, MS
Published in Ophthalmology (Rochester, Minn.) (01.08.2016)
Published in Ophthalmology (Rochester, Minn.) (01.08.2016)
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Journal Article
Predictive radiogenomics modeling of EGFR mutation status in lung cancer
Gevaert, Olivier, Echegaray, Sebastian, Khuong, Amanda, Hoang, Chuong D., Shrager, Joseph B., Jensen, Kirstin C., Berry, Gerald J., Guo, H. Henry, Lau, Charles, Plevritis, Sylvia K., Rubin, Daniel L., Napel, Sandy, Leung, Ann N.
Published in Scientific reports (31.01.2017)
Published in Scientific reports (31.01.2017)
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Journal Article
Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma
Banerjee, Imon, Crawley, Alexis, Bhethanabotla, Mythili, Daldrup-Link, Heike E, Rubin, Daniel L.
Published in Computerized medical imaging and graphics (01.04.2018)
Published in Computerized medical imaging and graphics (01.04.2018)
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Journal Article
Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study
Wu, Jia, PhD, Gensheimer, Michael F., MD, Dong, Xinzhe, MD, Rubin, Daniel L., MD, MS, Napel, Sandy, PhD, Diehn, Maximilian, MD, PhD, Loo, Billy W., MD, PhD, Li, Ruijiang, PhD
Published in International journal of radiation oncology, biology, physics (01.08.2016)
Published in International journal of radiation oncology, biology, physics (01.08.2016)
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Journal Article
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set
Gutman, David A, Cooper, Lee A D, Hwang, Scott N, Holder, Chad A, Gao, Jingjing, Aurora, Tarun D, Dunn, Jr, William D, Scarpace, Lisa, Mikkelsen, Tom, Jain, Rajan, Wintermark, Max, Jilwan, Manal, Raghavan, Prashant, Huang, Erich, Clifford, Robert J, Mongkolwat, Pattanasak, Kleper, Vladimir, Freymann, John, Kirby, Justin, Zinn, Pascal O, Moreno, Carlos S, Jaffe, Carl, Colen, Rivka, Rubin, Daniel L, Saltz, Joel, Flanders, Adam, Brat, Daniel J
Published in Radiology (01.05.2013)
Published in Radiology (01.05.2013)
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Journal Article
Putting the data before the algorithm in big data addressing personalized healthcare
Cahan, Eli M., Hernandez-Boussard, Tina, Thadaney-Israni, Sonoo, Rubin, Daniel L.
Published in NPJ digital medicine (19.08.2019)
Published in NPJ digital medicine (19.08.2019)
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Journal Article