Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.

[BibT_eX]

[DOI]

Yuan Gao

Hong-Yu Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

Radiomics and artificial intelligence in breast imaging: a survey.

[BibT_eX]

[DOI]

Regina G. H. Beets-Tan

Ritse M. Mann

Artif. Intell. Rev., October, 2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

[BibT_eX]

[DOI]

Christoph Großbröhmer

IEEE Trans. Medical Imaging, March, 2023

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.

[BibT_eX]

[DOI]

CoRR, 2023

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.

[BibT_eX]

[DOI]

CoRR, 2023

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.

[BibT_eX]

[DOI]

Luyi Han

Tao Tan

Ritse Mann

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

GAN-based disentanglement learning for chest X-ray rib suppression.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer.

[BibT_eX]

[DOI]

Marco Caballo

Wendelien B. G. Sanderink

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

[BibT_eX]

[DOI]

CoRR, 2021

Deformable Registration of Brain MR Images via a Hybrid Loss.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

2020

Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.

[BibT_eX]

[DOI]