• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 31 matches

• 2024
• 
  Ching-Hao Chiu, Yu-Jen Chen, Yawen Wu, Yiyu Shi, Tsung-Yi Ho:
  Achieve fairness without demographics for dermatological disease diagnosis. Medical Image Anal. 95: 103188 (2024)
• 
  Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu:
  TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. 95: 103210 (2024)
• 
  Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
  MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95: 103207 (2024)
• 
  Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente Diaz, Alejandro Linares-Barranco, Manfredo Atzori, Henning Müller:
  A systematic comparison of deep learning methods for Gleason grading and scoring. Medical Image Anal. 95: 103191 (2024)
• 
  Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
  Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95: 103159 (2024)
• 
  Dingyi Hu, Zhiguo Jiang, Jun Shi, Fengying Xie, Kun Wu, Kunming Tang, Ming Cao, Jianguo Huai, Yushan Zheng:
  Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval. Medical Image Anal. 95: 103163 (2024)
• 
  Dewei Hu, Hao Li, Han Liu, Ipek Oguz:
  Domain generalization for retinal vessel segmentation via Hessian-based vector field. Medical Image Anal. 95: 103164 (2024)
• 
  Lihong Huang, Jin Zhou, Jing Jiao, Shichong Zhou, Cai Chang, Yuanyuan Wang, Yi Guo:
  Standardization of ultrasound images across various centers: M2O-DiffGAN bridging the gaps among unpaired multi-domain ultrasound images. Medical Image Anal. 95: 103187 (2024)
• 
  Caiwen Jiang, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, Dinggang Shen:
  Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT. Medical Image Anal. 95: 103194 (2024)
• 
  Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Camilo Calixto, Zeljka Krsnik, Davood Karimi, Meritxell Bach Cuadra:
  Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. 95: 103186 (2024)
• 
  Soopil Kim, Heejung Park, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
  Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets. Medical Image Anal. 95: 103156 (2024)
• 
  Peng Li, Yue Hu:
  Deep magnetic resonance fingerprinting based on Local and Global Vision Transformer. Medical Image Anal. 95: 103198 (2024)
• 
  Qiong Liu, Yu-Jung Tsai, Jean-Dominique Gallezot, Xueqi Guo, Ming-Kai Chen, Darko Pucar, Colin Young, Vladimir Y. Panin, Michael E. Casey, Tianshun Miao, Huidong Xie, Xiongchao Chen, Bo Zhou, Richard E. Carson, Chi Liu:
  Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. Medical Image Anal. 95: 103180 (2024)
• 
  Queralt Martín-Saladich, Juan M. Pericàs, Andreea Ciudin, Clara Ramirez-Serra, Manuel Escobar, Jesús Rivera-Esteban, Santiago Aguadé-Bruix, Miguel Ángel González Ballester, José Raul Herance:
  Metabolic-associated fatty liver voxel-based quantification on CT images using a contrast adapted automatic tool. Medical Image Anal. 95: 103185 (2024)
• 
  Yanda Meng, Yuchen Zhang, Jianyang Xie, Jinming Duan, Martha Joddrell, Savita Madhusudhan, Tunde Peto, Yitian Zhao, Yalin Zheng:
  Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment. Medical Image Anal. 95: 103183 (2024)
• 
  Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo:
  Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. 95: 103196 (2024)
• 
  Helena Montenegro, Jaime S. Cardoso:
  Anonymizing medical case-based explanations through disentanglement. Medical Image Anal. 95: 103209 (2024)
• 
  Shaheer U. Saeed, João Ramalhinho, Mark A. Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
  Active learning using adaptable task-based prioritisation. Medical Image Anal. 95: 103181 (2024)
• 
  Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
  Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024)
• 
  Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos:
  Focused active learning for histopathological image classification. Medical Image Anal. 95: 103162 (2024)
• 
  Jialin Shi, Kailai Zhang, Chenyi Guo, Youquan Yang, Yali Xu, Ji Wu:
  A survey of label-noise deep learning for medical image analysis. Medical Image Anal. 95: 103166 (2024)
• 
  Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh:
  DermSynth3D: Synthesis of in-the-wild annotated dermatology images. Medical Image Anal. 95: 103145 (2024)
• 
  Serban Stan, Mohammad Rostami:
  Unsupervised model adaptation for source-free segmentation of medical images. Medical Image Anal. 95: 103179 (2024)
• 
  Qiling Tang, Yu Cai:
  Deep radial basis function networks with subcategorization for mitosis detection in breast histopathology images. Medical Image Anal. 95: 103204 (2024)
• 
  Haoran Wang, Qiuye Jin, Shiman Li, Siyu Liu, Manning Wang, Zhijian Song:
  A comprehensive survey on deep active learning in medical image analysis. Medical Image Anal. 95: 103201 (2024)
• 
  Xiaodong Yue, Xiao Huang, Zhikang Xu, Yufei Chen, Chuanliang Xu:
  Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation. Medical Image Anal. 95: 103189 (2024)
• 
  Dong Zhang, Caohui Duan, Udunna Anazodo, Z. Jane Wang, Xin Lou:
  Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI. Medical Image Anal. 95: 103184 (2024)
• 
  Ming Zhang, Ruimin Feng, Zhenghao Li, Jie Feng, Qing Wu, Zhiyong Zhang, Chengxin Ma, Jinsong Wu, Fuhua Yan, Chunlei Liu, Yuyao Zhang, Hongjiang Wei:
  A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation. Medical Image Anal. 95: 103173 (2024)
• 
  Liutong Zhang, Guochen Ning, Hanying Liang, Boxuan Han, Hongen Liao:
  One-shot neuroanatomy segmentation through online data augmentation and confidence aware pseudo label. Medical Image Anal. 95: 103182 (2024)
• 
  Di Zhang, Fangrong Zong, Qichen Zhang, Yunhui Yue, Fan Zhang, Kun Zhao, Dawei Wang, Pan Wang, Xi Zhang, Yong Liu:
  Anat-SFSeg: Anatomically-guided superficial fiber segmentation with point-cloud deep learning. Medical Image Anal. 95: 103165 (2024)

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