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Thomas Lukasiewicz

Showing results (1-10 of 31) with videos related to

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Advances in Neural Information Processing Systems|April 12, 2021
Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding NetworksYuhang Song, Thomas Lukasiewicz, Zhenghua Xu, et al.
IEEE Transactions on Medical Imaging|August 1, 2024
Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive MaskingZhenghua Xu, Yunxin Liu, Gang Xu, et al.
IEEE Transactions on Medical Imaging|November 25, 2025
AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image SegmentationXiangtao Wang, Ruizhi Wang, Thomas Lukasiewicz, et al.
Medical Image Analysis|November 3, 2022
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentationShuo Zhang, Jiaojiao Zhang, Biao Tian, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|May 19, 2023
Reverse Differentiation via Predictive CodingTommaso Salvatori, Yuhang Song, Zhenghua Xu, et al.
Proceedings of Machine Learning Research|February 8, 2023
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory ModelsBeren Millidge, Tommaso Salvatori, Yuhang Song, et al.
IEEE Transactions on Medical Imaging|June 28, 2023
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image SegmentationJiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, et al.
Computers in Biology and Medicine|June 22, 2023
EFPN: Effective medical image detection using feature pyramid fusion enhancementZhenghua Xu, Xudong Zhang, Hexiang Zhang, et al.
Plos Computational Biology|April 14, 2023
Recurrent predictive coding models for associative memory employing covariance learningMufeng Tang, Tommaso Salvatori, Beren Millidge, et al.
Computers in Biology and Medicine|January 5, 2023
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processingDi Yuan, Yunxin Liu, Zhenghua Xu, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Advances in Neural Information Processing Systems|April 12, 2021
Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding NetworksYuhang Song, Thomas Lukasiewicz, Zhenghua Xu, et al.
IEEE Transactions on Medical Imaging|August 1, 2024
Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive MaskingZhenghua Xu, Yunxin Liu, Gang Xu, et al.
IEEE Transactions on Medical Imaging|November 25, 2025
AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image SegmentationXiangtao Wang, Ruizhi Wang, Thomas Lukasiewicz, et al.
Medical Image Analysis|November 3, 2022
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentationShuo Zhang, Jiaojiao Zhang, Biao Tian, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|May 19, 2023
Reverse Differentiation via Predictive CodingTommaso Salvatori, Yuhang Song, Zhenghua Xu, et al.
Proceedings of Machine Learning Research|February 8, 2023
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory ModelsBeren Millidge, Tommaso Salvatori, Yuhang Song, et al.
IEEE Transactions on Medical Imaging|June 28, 2023
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image SegmentationJiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, et al.
Computers in Biology and Medicine|June 22, 2023
EFPN: Effective medical image detection using feature pyramid fusion enhancementZhenghua Xu, Xudong Zhang, Hexiang Zhang, et al.
Plos Computational Biology|April 14, 2023
Recurrent predictive coding models for associative memory employing covariance learningMufeng Tang, Tommaso Salvatori, Beren Millidge, et al.
Computers in Biology and Medicine|January 5, 2023
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processingDi Yuan, Yunxin Liu, Zhenghua Xu, et al.
Pageof 4