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To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.

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Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation., , and . CoRR, (2023)Deformable Registration of Brain MR Images via a Hybrid Loss., , , and . MIDOG/MOOD/Learn2Reg@MICCAI, volume 13166 of Lecture Notes in Computer Science, page 141-146. Springer, (2021)IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data., , , , , , , , , and 4 other author(s). Inf. Fusion, (2024)Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism., , , , , , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 79-88. Springer, (2023)Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI., , , , , , , , , and . CoRR, (2024)Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning., , , and . BrainLes@MICCAI (2), volume 14092 of Lecture Notes in Computer Science, page 49-58. Springer, (2022)4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework., , , , , , , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 258-267. Springer, (2022)Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI., , , , , , , and . CoRR, (2023)Radiomics and artificial intelligence in breast imaging: a survey., , , , , , , , , and . Artif. Intell. Rev., 56 (S1): 857-892 (October 2023)