Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging Features von Shboul, Zeina A., Chen, James, M. Iftekharuddin, Khan

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Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images von Pei, Linmin, Vidyaratne, Lasitha, Rahman, Md Monibor, Iftekharuddin, Khan M.

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Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition von Alam, Mahbubul, Vidyaratne, Lasitha S., Iftekharuddin, Khan M.

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A Multi-Organ Nucleus Segmentation Challenge von Kumar, Neeraj, Verma, Ruchika, Anand, Deepak, Zhou, Yanning, Onder, Omer Fahri, Tsougenis, Efstratios, Chen, Hao, Heng, Pheng-Ann, Li, Jiahui, Hu, Zhiqiang, Wang, Yunzhi, Koohbanani, Navid Alemi, Jahanifar, Mostafa, Tajeddin, Neda Zamani, Gooya, Ali, Rajpoot, Nasir, Ren, Xuhua, Zhou, Sihang, Wang, Qian, Shen, Dinggang, Yang, Cheng-Kun, Weng, Chi-Hung, Yu, Wei-Hsiang, Yeh, Chao-Yuan, Yang, Shuang, Xu, Shuoyu, Yeung, Pak Hei, Sun, Peng, Mahbod, Amirreza, Schaefer, Gerald, Ellinger, Isabella, Ecker, Rupert, Smedby, Orjan, Wang, Chunliang, Chidester, Benjamin, Ton, That-Vinh, Tran, Minh-Triet, Ma, Jian, Do, Minh N., Graham, Simon, Vu, Quoc Dang, Kwak, Jin Tae, Gunda, Akshaykumar, Chunduri, Raviteja, Hu, Corey, Zhou, Xiaoyang, Lotfi, Dariush, Safdari, Reza, Kascenas, Antanas, O'Neil, Alison, Eschweiler, Dennis, Stegmaier, Johannes, Cui, Yanping, Yin, Baocai, Chen, Kailin, Tian, Xinmei, Gruening, Philipp, Barth, Erhardt, Arbel, Elad, Remer, Itay, Ben-Dor, Amir, Sirazitdinova, Ekaterina, Kohl, Matthias, Braunewell, Stefan, Li, Yuexiang, Xie, Xinpeng, Shen, Linlin, Ma, Jun, Baksi, Krishanu Das, Khan, Mohammad Azam, Choo, Jaegul, Colomer, Adrian, Naranjo, Valery, Pei, Linmin, Iftekharuddin, Khan M., Roy, Kaushiki, Bhattacharjee, Debotosh, Pedraza, Anibal, Bueno, Maria Gloria, Devanathan, Sabarinathan, Radhakrishnan, Saravanan, Koduganty, Praveen, Wu, Zihan, Cai, Guanyu, Liu, Xiaojie, Wang, Yuqin, Sethi, Amit

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Deep Neural Network Analysis of Pathology Images With Integrated Molecular Data for Enhanced Glioma Classification and Grading von Pei, Linmin, Jones, Karra A, Shboul, Zeina A, Chen, James Y, Iftekharuddin, Khan M

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Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets von Yousef, Amr, Flora, Jeff, Iftekharuddin, Khan

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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI von Maier, Oskar, Menze, Bjoern H., von der Gablentz, Janina, Häni, Levin, Heinrich, Mattias P., Liebrand, Matthias, Winzeck, Stefan, Basit, Abdul, Bentley, Paul, Chen, Liang, Christiaens, Daan, Dutil, Francis, Egger, Karl, Feng, Chaolu, Glocker, Ben, Götz, Michael, Haeck, Tom, Halme, Hanna-Leena, Havaei, Mohammad, Iftekharuddin, Khan M., Jodoin, Pierre-Marc, Kamnitsas, Konstantinos, Kellner, Elias, Korvenoja, Antti, Larochelle, Hugo, Ledig, Christian, Lee, Jia-Hong, Maes, Frederik, Mahmood, Qaiser, Maier-Hein, Klaus H., McKinley, Richard, Muschelli, John, Pal, Chris, Pei, Linmin, Rangarajan, Janaki Raman, Reza, Syed M.S., Robben, David, Rueckert, Daniel, Salli, Eero, Suetens, Paul, Wang, Ching-Wei, Wilms, Matthias, Kirschke, Jan S., Krämer, Ulrike M., Münte, Thomas F., Schramm, Peter, Wiest, Roland, Handels, Heinz, Reyes, Mauricio

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Feature-Guided Deep Radiomics for Glioblastoma Patient Survival Prediction von Shboul, Zeina A., Alam, Mahbubul, Vidyaratne, Lasitha, Pei, Linmin, Elbakary, Mohamed I., Iftekharuddin, Khan M.

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Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information von Vidyaratne, Lasitha S., Alam, Mahbubul, Glandon, Alexander M., Shabalina, Anna, Tennant, Chris, Iftekharuddin, Khan M.

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Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images von Elbakary, Mohamed I., Iftekharuddin, Khan M.

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Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI von Ahmed, S, Iftekharuddin, K M, Vossough, A

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Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion von Pei, Linmin, Bakas, Spyridon, Vossough, Arastoo, Reza, Syed M.S., Davatzikos, Christos, Iftekharuddin, Khan M.

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Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features von Witherow, Megan A., Samad, Manar D., Diawara, Norou, Bar, Haim Y., Iftekharuddin, Khan M.

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Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face von Samad, Manar D., Iftekharuddin, Khan M.

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Texture Estimation for Abnormal Tissue Segmentation in Brain MRI von Reza, Syed M. S., Islam, Atiq, Iftekharuddin, Khan M.

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Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory von Vidyaratne, Lasitha, Carpenter, Adam, Powers, Tom, Tennant, Chris, Iftekharuddin, Khan M, Rahman, Md Monibor, Shabalina, Anna S

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Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory von Tennant, Chris, Carpenter, Adam, Powers, Tom, Shabalina Solopova, Anna, Vidyaratne, Lasitha, Iftekharuddin, Khan

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Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition von Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Glandon, Alexander, Dhar, Nibir, Familoni, Babajide, Iftekharuddin, Khan, Acton, Scott T.

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Prediction of Rapid Early Progression and Survival Risk with Pre-Radiation MRI in WHO Grade 4 Glioma Patients von Farzana, Walia, Basree, Mustafa M, Diawara, Norou, Shboul, Zeina A, Dubey, Sagel, Lockhart, Marie M, Hamza, Mohamed, Palmer, Joshua D, Iftekharuddin, Khan M

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Aerosol tracking using lidar-based atmospheric profiling and Bayesian estimation von Elbakary, Mohamed I., Abdelghaffar, Hossam M., Afrifa, Kwasi, Rakha, Hesham A., Cetin, Mecit, Iftekharuddin, Khan M.

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