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Disambiguation of "Ji, Zhanghexuan"

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An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation.

, , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 532-541. Springer, (2020)

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Hui Ji

Ji Vymer

Ji Haas

Guangju Ji

Ji Prokop

 

Other publications of authors with the same name

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data., , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 128-136. Springer, (2019)Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans., , , , , , , , , and 2 other author(s). CoRR, (2023)An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation., , and . MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 532-541. Springer, (2020)Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment., , , , , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 110-119. Springer, (2021)An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation., , and . CoRR, (2021)Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans., , , , , , , , , and 1 other author(s). ICCV, page 21083-21094. IEEE, (2023)FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation., , , , , and . AAMAS, page 1808-1816. ACM, (2023)User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation., , , , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 457-467. Springer, (2020)Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation., , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 175-183. Springer, (2019)Continual Domain Adversarial Adaptation via Double-Head Discriminators., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2584-2592. PMLR, (2024)