Search Results - "Abidin, Anas Z."

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

“…HIV is capable of invading the brain soon after seroconversion. This ultimately can lead to deficits in multiple cognitive domains commonly referred to as…”
Get full text

Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting by 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.

“…We introduce a multi-institutional data harvesting (MIDH) method for longitudinal observation of medical imaging utilization and reporting. By tracking both…”
Get full text

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

“…Functional connectivity analysis of functional MRI (fMRI) can represent brain networks and reveal insights into interactions amongst different brain regions…”
Get full text

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

“…•Resting-state connectivity with large-scale Granger causality (lsGC) is studied.•LsGC, a data-driven multivariate approach, estimates interactions in large…”
Get full text

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

“…HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often…”
Get full text

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

“…Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated to be effective for visualization of the human cartilage matrix at micrometer…”
Get full text

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

“…It is estimated that more than 50% of the individuals affected with Human Immunodeficiency Virus (HIV) present deficits in multiple cognitive domains,…”
Get full text

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

“…Functional MRI (fMRI) quantifies brain activity non-invasively by measuring the blood oxygen level dependent (BOLD) response to neuronal activity. It was…”
Get full text

Federated learning for predicting clinical outcomes in patients with COVID-19 by 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

“…Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus…”
Get full text

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

“…To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically,…”
Get full text

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

“…Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, vol. 10950, p. 109503F, (2019) Chest x-rays are the most common radiology studies for…”
Get full text

MRI Tumor Segmentation with Densely Connected 3D CNN by Chen, Lele, Wu, Yue, DSouza, Adora M, Abidin, Anas Z, Wismuller, Axel, Xu, Chenliang

“…Glioma is one of the most common and aggressive types of primary brain tumors. The accurate segmentation of subcortical brain structures is crucial to the…”
Get full text