日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

利用联邦肿瘤分割(FeTS)挑战赛实现医疗保健人工智能算法的公平、去中心化基准测试

Zenk, Maximilian; Baid, Ujjwal; Pati, Sarthak; Linardos, Akis; Edwards, Brandon; Sheller, Micah; Foley, Patrick; Aristizabal, Alejandro; Zimmerer, David; Gruzdev, Alexey; Martin, Jason; Shinohara, Russell T; Reinke, Annika; Isensee, Fabian; Parampottupadam, Santhosh; Parekh, Kaushal; Floca, Ralf; Kassem, Hasan; Baheti, Bhakti; Thakur, Siddhesh; Chung, Verena; Kushibar, Kaisar; Lekadir, Karim; Jiang, Meirui; Yin, Youtan; Yang, Hongzheng; Liu, Quande; Chen, Cheng; Dou, Qi; Heng, Pheng-Ann; Zhang, Xiaofan; Zhang, Shaoting; Khan, Muhammad Irfan; Azeem, Mohammad Ayyaz; Jafaritadi, Mojtaba; Alhoniemi, Esa; Kontio, Elina; Khan, Suleiman A; Mächler, Leon; Ezhov, Ivan; Kofler, Florian; Shit, Suprosanna; Paetzold, Johannes C; Loehr, Timo; Wiestler, Benedikt; Peiris, Himashi; Pawar, Kamlesh; Zhong, Shenjun; Chen, Zhaolin; Hayat, Munawar; Egan, Gary; Harandi, Mehrtash; Isik Polat, Ece; Polat, Gorkem; Kocyigit, Altan; Temizel, Alptekin; Tuladhar, Anup; Tyagi, Lakshay; Souza, Raissa; Forkert, Nils D; Mouches, Pauline; Wilms, Matthias; Shambhat, Vishruth; Maurya, Akansh; Danannavar, Shubham Subhas; Kalla, Rohit; Anand, Vikas Kumar; Krishnamurthi, Ganapathy; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Reddy, Divya; Das, Yudhajit; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph; Singh, Gaurav; Ren, Jianxun; Zhang, Wei; An, Ning; Hu, Qingyu; Zhang, Youjia; Zhou, Ying; Siomos, Vasilis; Tarroni, Giacomo; Passerrat-Palmbach, Jonathan; Rawat, Ambrish; Zizzo, Giulio; Kadhe, Swanand Ravindra; Epperlein, Jonathan P; Braghin, Stefano; Wang, Yuan; Kanagavelu, Renuga; Wei, Qingsong; Yang, Yechao; Liu, Yong; Kotowski, Krzysztof; Adamski, Szymon; Machura, Bartosz; Malara, Wojciech; Zarudzki, Lukasz; Nalepa, Jakub; Shi, Yaying; Gao, Hongjian; Avestimehr, Salman; Yan, Yonghong; Akbar, Agus S; Kondrateva, Ekaterina; Yang, Hua; Li, Zhaopei; Wu, Hung-Yu; Roth, Johannes; Saueressig, Camillo; Milesi, Alexandre; Nguyen, Quoc D; Gruenhagen, Nathan J; Huang, Tsung-Ming; Ma, Jun; Singh, Har Shwinder H; Pan, Nai-Yu; Zhang, Dingwen; Zeineldin, Ramy A; Futrega, Michal; Yuan, Yading; Conte, Gian Marco; Feng, Xue; Pham, Quan D; Xia, Yong; Jiang, Zhifan; Luu, Huan Minh; Dobko, Mariia; Carré, Alexandre; Tuchinov, Bair; Mohy-Ud-Din, Hassan; Alam, Saruar; Singh, Anup; Shah, Nameeta; Wang, Weichung; Sako, Chiharu; Bilello, Michel; Ghodasara, Satyam; Mohan, Suyash; Davatzikos, Christos; Calabrese, Evan; Rudie, Jeffrey; Villanueva-Meyer, Javier; Cha, Soonmee; Hess, Christopher; Mongan, John; Ingalhalikar, Madhura; Jadhav, Manali; Pandey, Umang; Saini, Jitender; Huang, Raymond Y; Chang, Ken; To, Minh-Son; Bhardwaj, Sargam; Chong, Chee; Agzarian, Marc; Kozubek, Michal; Lux, Filip; Michálek, Jan; Matula, Petr; Ker Kovský, Miloš; Kopr Ivová, Tereza; Dostál, Marek; Vybíhal, Václav; Pinho, Marco C; Holcomb, James; Metz, Marie; Jain, Rajan; Lee, Matthew D; Lui, Yvonne W; Tiwari, Pallavi; Verma, Ruchika; Bareja, Rohan; Yadav, Ipsa; Chen, Jonathan; Kumar, Neeraj; Gusev, Yuriy; Bhuvaneshwar, Krithika; Sayah, Anousheh; Bencheqroun, Camelia; Belouali, Anas; Madhavan, Subha; Colen, Rivka R; Kotrotsou, Aikaterini; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Bendszus, Martin; Wick, Wolfgang; Mahajan, Abhishek; Balaña, Carmen; Capellades, Jaume; Puig, Josep; Choi, Yoon Seong; Lee, Seung-Koo; Chang, Jong Hee; Ahn, Sung Soo; Shaykh, Hassan F; Herrera-Trujillo, Alejandro; Trujillo, Maria; Escobar, William; Abello, Ana; Bernal, Jose; Gómez, Jhon; LaMontagne, Pamela; Marcus, Daniel S; Milchenko, Mikhail; Nazeri, Arash; Landman, Bennett; Ramadass, Karthik; Xu, Kaiwen; Chotai, Silky; Chambless, Lola B; Mistry, Akshitkumar; Thompson, Reid C; Srinivasan, Ashok; Bapuraj, J Rajiv; Rao, Arvind; Wang, Nicholas; Yoshiaki, Ota; Moritani, Toshio; Turk, Sevcan; Lee, Joonsang; Prabhudesai, Snehal; Garrett, John; Larson, Matthew; Jeraj, Robert; Li, Hongwei; Weiss, Tobias; Weller, Michael; Bink, Andrea; Pouymayou, Bertrand; Sharma, Sonam; Tseng, Tzu-Chi; Adabi, Saba; Xavier Falcão, Alexandre; Martins, Samuel B; Teixeira, Bernardo C A; Sprenger, Flávia; Menotti, David; Lucio, Diego R; Niclou, Simone P; Keunen, Olivier; Hau, Ann-Christin; Pelaez, Enrique; Franco-Maldonado, Heydy; Loayza, Francis; Quevedo, Sebastian; McKinley, Richard; Slotboom, Johannes; Radojewski, Piotr; Meier, Raphael; Wiest, Roland; Trenkler, Johannes; Pichler, Josef; Necker, Georg; Haunschmidt, Andreas; Meckel, Stephan; Guevara, Pamela; Torche, Esteban; Mendoza, Cristobal; Vera, Franco; Ríos, Elvis; López, Eduardo; Velastin, Sergio A; Choi, Joseph; Baek, Stephen; Kim, Yusung; Ismael, Heba; Allen, Bryan; Buatti, John M; Zampakis, Peter; Panagiotopoulos, Vasileios; Tsiganos, Panagiotis; Alexiou, Sotiris; Haliassos, Ilias; Zacharaki, Evangelia I; Moustakas, Konstantinos; Kalogeropoulou, Christina; Kardamakis, Dimitrios M; Luo, Bing; Poisson, Laila M; Wen, Ning; Vallières, Martin; Loutfi, Mahdi Ait Lhaj; Fortin, David; Lepage, Martin; Morón, Fanny; Mandel, Jacob; Shukla, Gaurav; Liem, Spencer; Alexandre, Gregory S; Lombardo, Joseph; Palmer, Joshua D; Flanders, Adam E; Dicker, Adam P; Ogbole, Godwin; Oyekunle, Dotun; Odafe-Oyibotha, Olubunmi; Osobu, Babatunde; Shu'aibu Hikima, Mustapha; Soneye, Mayowa; Dako, Farouk; Dorcas, Adeleye; Murcia, Derrick; Fu, Eric; Haas, Rourke; Thompson, John A; Ormond, David Ryan; Currie, Stuart; Fatania, Kavi; Frood, Russell; Simpson, Amber L; Peoples, Jacob J; Hu, Ricky; Cutler, Danielle; Moraes, Fabio Y; Tran, Anh; Hamghalam, Mohammad; Boss, Michael A; Gimpel, James; Kattil Veettil, Deepak; Schmidt, Kendall; Cimino, Lisa; Price, Cynthia; Bialecki, Brian; Marella, Sailaja; Apgar, Charles; Jakab, Andras; Weber, Marc-André; Colak, Errol; Kleesiek, Jens; Freymann, John B; Kirby, Justin S; Maier-Hein, Lena; Albrecht, Jake; Mattson, Peter; Karargyris, Alexandros; Shah, Prashant; Menze, Bjoern; Maier-Hein, Klaus; Bakas, Spyridon

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

基于机器学习的胶质母细胞瘤预后亚组分析:一项多中心研究

Akbari, Hamed; Bakas, Spyridon; Sako, Chiharu; Fathi Kazerooni, Anahita; Villanueva-Meyer, Javier; Garcia, Jose A; Mamourian, Elizabeth; Liu, Fang; Cao, Quy; Shinohara, Russell T; Baid, Ujjwal; Getka, Alexander; Pati, Sarthak; Singh, Ashish; Calabrese, Evan; Chang, Susan; Rudie, Jeffrey; Sotiras, Aristeidis; LaMontagne, Pamela; Marcus, Daniel S; Milchenko, Mikhail; Nazeri, Arash; Balana, Carmen; Capellades, Jaume; Puig, Josep; Badve, Chaitra; Barnholtz-Sloan, Jill S; Sloan, Andrew E; Vadmal, Vachan; Waite, Kristin; Ak, Murat; Colen, Rivka R; Park, Yae Won; Ahn, Sung Soo; Chang, Jong Hee; Choi, Yoon Seong; Lee, Seung-Koo; Alexander, Gregory S; Ali, Ayesha S; Dicker, Adam P; Flanders, Adam E; Liem, Spencer; Lombardo, Joseph; Shi, Wenyin; Shukla, Gaurav; Griffith, Brent; Poisson, Laila M; Rogers, Lisa R; Kotrotsou, Aikaterini; Booth, Thomas C; Jain, Rajan; Lee, Matthew; Mahajan, Abhishek; Chakravarti, Arnab; Palmer, Joshua D; DiCostanzo, Dominic; Fathallah-Shaykh, Hassan; Cepeda, Santiago; Santonocito, Orazio Santo; Di Stefano, Anna Luisa; Wiestler, Benedikt; Melhem, Elias R; Woodworth, Graeme F; Tiwari, Pallavi; Valdes, Pablo; Matsumoto, Yuji; Otani, Yoshihiro; Imoto, Ryoji; Aboian, Mariam; Koizumi, Shinichiro; Kurozumi, Kazuhiko; Kawakatsu, Toru; Alexander, Kimberley; Satgunaseelan, Laveniya; Rulseh, Aaron M; Bagley, Stephen J; Bilello, Michel; Binder, Zev A; Brem, Steven; Desai, Arati S; Lustig, Robert A; Maloney, Eileen; Prior, Timothy; Amankulor, Nduka; Nasrallah, MacLean P; O'Rourke, Donald M; Mohan, Suyash; Davatzikos, Christos

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

基于深度学习的大规模多中心胰腺CT和MRI分割

Zhang, Zheyuan; Keles, Elif; Durak, Gorkem; Taktak, Yavuz; Susladkar, Onkar; Gorade, Vandan; Jha, Debesh; Ormeci, Asli C; Medetalibeyoglu, Alpay; Yao, Lanhong; Wang, Bin; Isler, Ilkin Sevgi; Peng, Linkai; Pan, Hongyi; Vendrami, Camila Lopes; Bourhani, Amir; Velichko, Yury; Gong, Boqing; Spampinato, Concetto; Pyrros, Ayis; Tiwari, Pallavi; Klatte, Derk C F; Engels, Megan; Hoogenboom, Sanne; Bolan, Candice W; Agarunov, Emil; Harfouch, Nassier; Huang, Chenchan; Bruno, Marco J; Schoots, Ivo; Keswani, Rajesh N; Miller, Frank H; Gonda, Tamas; Yazici, Cemal; Tirkes, Temel; Turkbey, Baris; Wallace, Michael B; Bagci, Ulas

Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort: An exploratory study

邻里劣势与认知功能和皮层紊乱的关联:一项探索性研究

Safai, Apoorva; Buckingham, William R; Jonaitis, Erin M; Langhough, Rebecca E; Johnson, Sterling C; Powell, W Ryan; Kind, Amy J; Bendlin, Barbara B; Tiwari, Pallavi

A novel structural modeling magnitude and orientation radiomic descriptor for evaluating response to neoadjuvant therapy in rectal cancers via MRI

一种用于评估直肠癌新辅助治疗反应的新型结构建模幅度和方向放射组学描述符(基于磁共振成像)

Alvarez-Jimenez, Charlems; Antunes, Jacob T; DeSilvio, Thomas; Wei, Zhouping; Ismail, Marwa; Willis, Joseph E; Steinhagen, Emily; Purysko, Andrei; Liska, David; Krishnamurthi, Smitha; Crittenden, Marka; Gough, Michael; Young, Kristina; Madabhushi, Anant; Romero, Eduardo; Tiwari, Pallavi; Viswanath, Satish E

Radiomic-based prognostic score for survival risk-stratification in pediatric medulloblastoma tumors: A multi-institutional study

基于放射组学的预后评分在儿童髓母细胞瘤生存风险分层中的应用:一项多中心研究

Ismail, Marwa; Um, Hyemin; Pineda, Gustavo; Salloum, Ralph; Hollnagel, Fauzia; Ahmed, Raheel; de Blank, Peter; Tiwari, Pallavi

Immune checkpoint inhibitors for glioblastoma: emerging science, clinical advances, and future directions

胶质母细胞瘤的免疫检查点抑制剂:新兴科学、临床进展和未来方向

Badani, Aarav; Ozair, Ahmad; Khasraw, Mustafa; Woodworth, Graeme F; Tiwari, Pallavi; Ahluwalia, Manmeet S; Mansouri, Alireza

IMG-71. Stability of radiomics in pediatric medulloblastoma: a multi-institutional preliminary analysis

IMG-71. 儿童髓母细胞瘤放射组学稳定性:一项多中心初步分析

Chen, Xiao; Jin, Xin; Shang, Ke; Zhang, Zhijing; Ismail, Marwa; Um, Hyemin; Pytel, Nicholas; Salloum, Ralph; Rebsamen, Susan; de Blank, Peter; Tiwari, Pallavi

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs

利用放射组学和深度学习对胰管内乳头状黏液性肿瘤(IPMN)恶性风险进行分层的多中心评估

Bejar, Andrea M; Gonzalez, María Jaramillo; Hong, Ziliang; Durak, Gorkem; Keles, Elif; Aktas, Halil Ertugrul; Zhang, Zheyuan; Pan, Hongyi; Jozwiak, Zeynep Sue; Bol, Fergan; Zhao, Lili; Chen, Chao; Spampinato, Concetto; Medetalibeyoglu, Alpay; Erturk, Sukru Mehmet; Kartal, Gulbiz Dagoglu; Velichko, Yury; Agarunov, Emil; Xu, Ziyue; Jambawalikar, Sachin; Schoots, Ivo G; Bruno, Marco J; Huang, Chenchang; Gonda, Tamas; Bolan, Candice; Miller, Frank H; Wallace, Michael B; Keswani, Rajesh N; Tiwari, Pallavi; Bagci, Ulas

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements

人工智能在神经肿瘤治疗反应评估中的应用(AI-RANO),第一部分:当前进展综述

Villanueva-Meyer, Javier E; Bakas, Spyridon; Tiwari, Pallavi; Lupo, Janine M; Calabrese, Evan; Davatzikos, Christos; Bi, Wenya Linda; Ismail, Marwa; Akbari, Hamed; Lohmann, Philipp; Booth, Thomas C; Wiestler, Benedikt; Aerts, Hugo J W L; Rasool, Ghulam; Tonn, Joerg C; Nowosielski, Martha; Jain, Rajan; Colen, Rivka R; Pati, Sarthak; Baid, Ujjwal; Vollmuth, Philipp; Macdonald, David; Vogelbaum, Michael A; Chang, Susan M; Huang, Raymond Y; Galldiks, Norbert