Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data von Wismüller, Axel, Dsouza, Adora M., Vosoughi, M. Ali, Abidin, Anas

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Mutual connectivity analysis of resting-state functional MRI data with local models von DSouza, Adora M., Abidin, Anas Z., Chockanathan, Udaysankar, Schifitto, Giovanni, Wismüller, Axel

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Exploring connectivity with large-scale Granger causality on resting-state functional MRI von DSouza, Adora M., Abidin, Anas Z., Leistritz, Lutz, Wismüller, Axel

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Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI von Chockanathan, Udaysankar, DSouza, Adora M., Abidin, Anas Z., Schifitto, Giovanni, Wismüller, Axel

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Deep transfer learning for characterizing chondrocyte patterns in phase contrast X-Ray computed tomography images of the human patellar cartilage von Abidin, Anas Z., Deng, Botao, DSouza, Adora M., Nagarajan, Mahesh B., Coan, Paola, Wismüller, Axel

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Detecting cognitive impairment in HIV-infected individuals using mutual connectivity analysis of resting state functional MRI von Abidin, Anas Z., DSouza, Adora M., Schifitto, Giovanni, Wismüller, Axel

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Alteration of brain network topology in HIV-associated neurocognitive disorder: A novel functional connectivity perspective von Abidin, Anas Z., DSouza, Adora M., Nagarajan, Mahesh B., Wang, Lu, Qiu, Xing, Schifitto, Giovanni, Wismüller, Axel

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A multivoxel pattern analysis framework with mutual connectivity analysis investigating changes in resting state connectivity in patients with HIV associated neurocognitve disorder von DSouza, Adora M., Abidin, Anas Z., Schifitto, Giovanni, Wismüller, Axel

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Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting von Wismüller, Axel, DSouza, Adora M., Abidin, Anas Z., Ali Vosoughi, M., Gange, Christopher, Cortopassi, Isabel O., Bozovic, Gracijela, Bankier, Alexander A., Batra, Kiran, Chodakiewitz, Yosef, Xi, Yin, Whitlow, Christopher T., Ponnatapura, Janardhana, Wendt, Gary J., Weinberg, Eric P., Stockmaster, Larry, Shrier, David A., Shin, Min Chul, Modi, Roshan, Lo, Hao Steven, Kligerman, Seth, Hamid, Aws, Hahn, Lewis D., Garcia, Glenn M., Chung, Jonathan H., Altes, Talissa, Abbara, Suhny, Bader, Anna S.

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Health system-scale language models are all-purpose prediction engines von Jiang, Lavender Yao, Liu, Xujin Chris, Nejatian, Nima Pour, Nasir-Moin, Mustafa, Wang, Duo, Abidin, Anas, Eaton, Kevin, Riina, Howard Antony, Laufer, Ilya, Punjabi, Paawan, Miceli, Madeline, Kim, Nora C., Orillac, Cordelia, Schnurman, Zane, Livia, Christopher, Weiss, Hannah, Kurland, David, Neifert, Sean, Dastagirzada, Yosef, Kondziolka, Douglas, Cheung, Alexander T. M., Yang, Grace, Cao, Ming, Flores, Mona, Costa, Anthony B., Aphinyanaphongs, Yindalon, Cho, Kyunghyun, Oermann, Eric Karl

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Federated learning for predicting clinical outcomes in patients with COVID-19 von Dayan, Ittai, Roth, Holger R., Zhong, Aoxiao, Harouni, Ahmed, Gentili, Amilcare, Abidin, Anas Z., Liu, Andrew, Costa, Anthony Beardsworth, Wood, Bradford J., Tsai, Chien-Sung, Wang, Chih-Hung, Hsu, Chun-Nan, Lee, C. K., Ruan, Peiying, Xu, Daguang, Wu, Dufan, Huang, Eddie, Kitamura, Felipe Campos, Lacey, Griffin, de Antônio Corradi, Gustavo César, Nino, Gustavo, Shin, Hao-Hsin, Obinata, Hirofumi, Ren, Hui, Crane, Jason C., Tetreault, Jesse, Guan, Jiahui, Garrett, John W., Kaggie, Joshua D., Park, Jung Gil, Dreyer, Keith, Juluru, Krishna, Kersten, Kristopher, Rockenbach, Marcio Aloisio Bezerra Cavalcanti, Linguraru, Marius George, Haider, Masoom A., AbdelMaseeh, Meena, Rieke, Nicola, Damasceno, Pablo F., e Silva, Pedro Mario Cruz, Wang, Pochuan, Xu, Sheng, Kawano, Shuichi, Sriswasdi, Sira, Park, Soo Young, Grist, Thomas M., Buch, Varun, Jantarabenjakul, Watsamon, Wang, Weichung, Tak, Won Young, Li, Xiang, Lin, Xihong, Kwon, Young Joon, Quraini, Abood, Feng, Andrew, Priest, Andrew N., Turkbey, Baris, Glicksberg, Benjamin, Bizzo, Bernardo, Kim, Byung Seok, Tor-Díez, Carlos, Lee, Chia-Cheng, Hsu, Chia-Jung, Lin, Chin, Lai, Chiu-Ling, Hess, Christopher P., Compas, Colin, Bhatia, Deepeksha, Oermann, Eric K., Leibovitz, Evan, Sasaki, Hisashi, Mori, Hitoshi, Yang, Isaac, Sohn, Jae Ho, Murthy, Krishna Nand Keshava, Fu, Li-Chen, de Mendonça, Matheus Ribeiro Furtado, Fralick, Mike, Kang, Min Kyu, Adil, Mohammad, Gangai, Natalie, Vateekul, Peerapon, Elnajjar, Pierre, Hickman, Sarah, Majumdar, Sharmila, McLeod, Shelley L., Reed, Sheridan, Gräf, Stefan, Harmon, Stephanie, Kodama, Tatsuya, Puthanakit, Thanyawee, Mazzulli, Tony, de Lavor, Vitor Lima, Rakvongthai, Yothin, Lee, Yu Rim, Wen, Yuhong, Gilbert, Fiona J., Flores, Mona G., Li, Quanzheng

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Optimization of Fluidised Bed Granulation Process Parameters for Urea Granule Manufacturing Using the Response Surface Method von Zainal Abidin, Mohammad Anas, Dimin, Mohd Fairuz, Abd Rahman, Md Nizam, Shaaban, Azizah, Se, Sian Meng, Said, Md Radzai

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The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation von Nath, Vishwesh, Yang, Dong, Hatamizadeh, Ali, Abidin, Anas A., Myronenko, Andriy, Roth, Holger R., Xu, Daguang

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Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data von Wismüller, Axel, Vosoughi, Ali, DSouza, Adora, Abidin, Anas

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Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recovering directed networks from short time-series data von Wismüller, Axel, DSouza, Adora M, Abidin, Anas Z

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Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline von DSouza, Adora M, Abidin, Anas Z, Wismüller, Axel

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Automatic Extraction of Medication Names in Tweets as Named Entity Recognition von Anderson, Carol, Liu, Bo, Abidin, Anas, Shin, Hoo-Chang, Adams, Virginia

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Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models von Adams, Virginia, Shin, Hoo-Chang, Anderson, Carol, Liu, Bo, Abidin, Anas

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Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches von Adams, Virginia, Shin, Hoo-Chang, Anderson, Carol, Liu, Bo, Abidin, Anas

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The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation von Nath, Vishwesh, Yang, Dong, Hatamizadeh, Ali, Abidin, Anas A, Myronenko, Andriy, Roth, Holger, Xu, Daguang

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