Medical Image Anal.

Keyphrases

Publications

volume 92, 2024

Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
Sketch-based semantic retrieval of medical images. Medical Image Anal. 92 (2024)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92 (2024)
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92 (2024)
Lin Teng, Bin Wang, Xuanang Xu, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy. Medical Image Anal. 92 (2024)
Thara Nallamothu, Maurice Pradella, Michael Markl, Philip Greenland, Rod S. Passman, Mohammed S. M. ElBaz
Robust and fast stochastic 4D flow vector-field signature technique for quantifying composite flow dynamics from 4D flow MRI: Application to left atrial flow in atrial fibrillation. Medical Image Anal. 92 (2024)
Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Plotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L. David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S. Mattos, Sara Moccia, Danail Stoyanov
Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings. Medical Image Anal. 92 (2024)
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Anal. 92 (2024)
Sanuwani Dayarathna, Kh Tohidul Islam, Sergio Uribe, Guang Yang, Munawar Hayat, Zhaolin Chen
Deep learning based synthesis of MRI, CT and PET: Review and analysis. Medical Image Anal. 92 (2024)
Hassna Irzan, Michael Hütel, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne
Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain. Medical Image Anal. 92 (2024)
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92 (2024)
Yuhao Huang, Xin Yang, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei Li, Vicente Grau, Deng-Ping Fan, Fajin Dong, Dong Ni
Segment anything model for medical images? Medical Image Anal. 92 (2024)
Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. Medical Image Anal. 92 (2024)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Anal. 92 (2024)
Yizhe Zhang, Tao Zhou, Yuhui Tao, Shuo Wang, Ye Wu, Benyuan Liu, Pengfei Gu, Qiang Chen, Danny Z. Chen
TestFit: A plug-and-play one-pass test time method for medical image segmentation. Medical Image Anal. 92 (2024)
Igor Zingman, Birgit Stierstorfer, Charlotte Lempp, Fabian Heinemann
Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development. Medical Image Anal. 92 (2024)

volume 91, 2024