Medical Image Learning with Limited and Noisy Data

More by Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman & Zhiyun Xue

• 

  Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data

  Mauricio Reyes, Pedro Henriques Abreu, Jaime Cardoso, Mustafa Hajij, Ghada Zamzmi, Paul Rahul & Lokendra Thakur

• 

  Medical Image Learning with Limited and Noisy Data

  Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman & Zhiyun Xue

• 

  Predictive Intelligence in Medicine

  Islem Rekik, Ehsan Adeli, Sang Hyun Park, Celia Cintas & Ghada Zamzmi

• 

  Medical Image Learning with Limited and Noisy Data

  Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru & Zhaohui Liang

• 

  Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning

  Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas & Nicola Rieke

• 

  Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

  M. Emre Celebi, Md Sirajus Salekin, Hyun-woo Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth & Daguang Xu