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Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks
Dvornek, Nicha C., Ventola, Pamela, Pelphrey, Kevin A., Duncan, James S.
Published in Machine Learning in Medical Imaging (01.09.2017)
Published in Machine Learning in Medical Imaging (01.09.2017)
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Privacy-Preserving Federated Brain Tumour Segmentation
Li, Wenqi, Milletarì, Fausto, Xu, Daguang, Rieke, Nicola, Hancox, Jonny, Zhu, Wentao, Baust, Maximilian, Cheng, Yan, Ourselin, Sébastien, Cardoso, M. Jorge, Feng, Andrew
Published in Machine Learning in Medical Imaging (01.01.2019)
Published in Machine Learning in Medical Imaging (01.01.2019)
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Deep Residual Learning for Instrument Segmentation in Robotic Surgery
Pakhomov, Daniil, Premachandran, Vittal, Allan, Max, Azizian, Mahdi, Navab, Nassir
Published in Machine Learning in Medical Imaging (01.01.2019)
Published in Machine Learning in Medical Imaging (01.01.2019)
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Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
Gao, Riqiang, Huo, Yuankai, Bao, Shunxing, Tang, Yucheng, Antic, Sanja L., Epstein, Emily S., Balar, Aneri B., Deppen, Steve, Paulson, Alexis B., Sandler, Kim L., Massion, Pierre P., Landman, Bennett A.
Published in Machine Learning in Medical Imaging (01.01.2019)
Published in Machine Learning in Medical Imaging (01.01.2019)
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Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
Dvornek, Nicha C., Li, Xiaoxiao, Zhuang, Juntang, Duncan, James S.
Published in Machine Learning in Medical Imaging (01.10.2019)
Published in Machine Learning in Medical Imaging (01.10.2019)
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End-to-End Boundary Aware Networks for Medical Image Segmentation
Hatamizadeh, Ali, Terzopoulos, Demetri, Myronenko, Andriy
Published in Machine Learning in Medical Imaging (01.01.2019)
Published in Machine Learning in Medical Imaging (01.01.2019)
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Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression
Yang, Zhen, Zhong, Shenghua, Carass, Aaron, Ying, Sarah H., Prince, Jerry L.
Published in Machine Learning in Medical Imaging (2014)
Published in Machine Learning in Medical Imaging (2014)
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Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation
Roy, Snehashis, Carass, Aaron, Prince, Jerry L., Pham, Dzung L.
Published in Machine Learning in Medical Imaging (2014)
Published in Machine Learning in Medical Imaging (2014)
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Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
Tang, Yuxing, Wang, Xiaosong, Harrison, Adam P., Lu, Le, Xiao, Jing, Summers, Ronald M.
Published in Machine Learning in Medical Imaging (2018)
Published in Machine Learning in Medical Imaging (2018)
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Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity
Cao, Xiaohuan, Yang, Jianhuan, Wang, Li, Xue, Zhong, Wang, Qian, Shen, Dinggang
Published in Machine Learning in Medical Imaging (01.09.2018)
Published in Machine Learning in Medical Imaging (01.09.2018)
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Contextual Attention Network: Transformer Meets U-Net
Azad, Reza, Heidari, Moein, Wu, Yuli, Merhof, Dorit
Published in Machine Learning in Medical Imaging (2022)
Published in Machine Learning in Medical Imaging (2022)
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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
Tang, Youbao, Cai, Jinzheng, Lu, Le, Harrison, Adam P., Yan, Ke, Xiao, Jing, Yang, Lin, Summers, Ronald M.
Published in Machine Learning in Medical Imaging (01.01.2018)
Published in Machine Learning in Medical Imaging (01.01.2018)
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VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
Zhao, Mengyang, Liu, Quan, Jha, Aadarsh, Deng, Ruining, Yao, Tianyuan, Mahadevan-Jansen, Anita, Tyska, Matthew J., Millis, Bryan A., Huo, Yuankai
Published in Machine Learning in Medical Imaging (2021)
Published in Machine Learning in Medical Imaging (2021)
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