Zobrazeno 1 - 10
of 1 145
pro vyhledávání: '"QAYYUM, Abdul"'
Computer aided pathological analysis has been the gold standard for tumor diagnosis, however domain shift is a significant problem in histopathology. It may be caused by variability in anatomical structures, tissue preparation, and imaging processes
Externí odkaz:
http://arxiv.org/abs/2409.15501
Autor:
Das, Adrito, Khan, Danyal Z., Psychogyios, Dimitrios, Zhang, Yitong, Hanrahan, John G., Vasconcelos, Francisco, Pang, You, Chen, Zhen, Wu, Jinlin, Zou, Xiaoyang, Zheng, Guoyan, Qayyum, Abdul, Mazher, Moona, Razzak, Imran, Li, Tianbin, Ye, Jin, He, Junjun, Płotka, Szymon, Kaleta, Joanna, Yamlahi, Amine, Jund, Antoine, Godau, Patrick, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Rivoir, Dominik, Pérez, Alejandra, Rodriguez, Santiago, Arbeláez, Pablo, Stoyanov, Danail, Marcus, Hani J., Bano, Sophia
The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a surgery: including which surgical steps are performed; and which surgical
Externí odkaz:
http://arxiv.org/abs/2409.01184
Publikováno v:
Management Science Letters, Pp 1093-1100 (2021)
This study reveals the worth of Emotional Intelligence (EI) to act as a moderator in undertaking the worst effects of Counterproductive Work Behavior (CWB) influenced by negative emotions and work interference. Contract based employees of the non-pro
Externí odkaz:
https://doaj.org/article/bc4522edd6824a968437b86ce252eb44
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the central nervous system, providing a direct in vivo window into neurolo
Externí odkaz:
http://arxiv.org/abs/2407.18970
Objective: Virtual Reality (VR) is a technological interface that allows users to interact with a simulated environment. VR has been used extensively for mental health and clinical research. Mental health disorders are globally burdening health probl
Externí odkaz:
http://arxiv.org/abs/2407.18918
Autor:
Qayyum, Abdul, Xu, Hao, Halliday, Brian P., Rodero, Cristobal, Lanyon, Christopher W., Wilkinson, Richard D., Niederer, Steven Alexander
Automated segmentation of Cardiac Magnetic Resonance (CMR) plays a pivotal role in efficiently assessing cardiac function, offering rapid clinical evaluations that benefit both healthcare practitioners and patients. While recent research has primaril
Externí odkaz:
http://arxiv.org/abs/2406.06643
Autor:
Javed, Syed, Khan, Tariq M., Qayyum, Abdul, Alinejad-Rokny, Hamid, Sowmya, Arcot, Razzak, Imran
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at this task, their computational demands pose challenges. Additionally, som
Externí odkaz:
http://arxiv.org/abs/2405.17520
Autor:
Qayyum, Abdul, Mazher, Moona, Lee, Angela, Solis-Lemus, Jose A, Razzak, Imran, Niederer, Steven A
Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual's structure, making off-the-shelf methods designed for the Left
Externí odkaz:
http://arxiv.org/abs/2405.17518
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425
Autor:
Payette, Kelly, Steger, Céline, Licandro, Roxane, de Dumast, Priscille, Li, Hongwei Bran, Barkovich, Matthew, Li, Liu, Dannecker, Maik, Chen, Chen, Ouyang, Cheng, McConnell, Niccolò, Miron, Alina, Li, Yongmin, Uus, Alena, Grigorescu, Irina, Gilliland, Paula Ramirez, Siddiquee, Md Mahfuzur Rahman, Xu, Daguang, Myronenko, Andriy, Wang, Haoyu, Huang, Ziyan, Ye, Jin, Alenyà, Mireia, Comte, Valentin, Camara, Oscar, Masson, Jean-Baptiste, Nilsson, Astrid, Godard, Charlotte, Mazher, Moona, Qayyum, Abdul, Gao, Yibo, Zhou, Hangqi, Gao, Shangqi, Fu, Jia, Dong, Guiming, Wang, Guotai, Rieu, ZunHyan, Yang, HyeonSik, Lee, Minwoo, Płotka, Szymon, Grzeszczyk, Michal K., Sitek, Arkadiusz, Daza, Luisa Vargas, Usma, Santiago, Arbelaez, Pablo, Lu, Wenying, Zhang, Wenhao, Liang, Jing, Valabregue, Romain, Joshi, Anand A., Nayak, Krishna N., Leahy, Richard M., Wilhelmi, Luca, Dändliker, Aline, Ji, Hui, Gennari, Antonio G., Jakovčić, Anton, Klaić, Melita, Adžić, Ana, Marković, Pavel, Grabarić, Gracia, Kasprian, Gregor, Dovjak, Gregor, Rados, Milan, Vasung, Lana, Cuadra, Meritxell Bach, Jakab, Andras
Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past several years, and the Fetal Brain Tissue Annotation (FeTA) Challenge 2021 helped to establ
Externí odkaz:
http://arxiv.org/abs/2402.09463