Ritse Mann
Orcid: 0000-0001-8111-1930
According to our database1,
Ritse Mann
authored at least 52 papers
between 2013 and 2024.
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Bibliography
2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 2024
Medical Image Anal., 2024
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion, 2024
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.
CoRR, 2024
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR, 2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Artif. Intell. Rev., October, 2023
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.
Biomed. Signal Process. Control., July, 2023
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.
CoRR, 2023
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR, 2023
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR, 2023
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
In Vivo 3D Power Doppler Imaging Using Continuous Translation and Ultrafast Ultrasound.
IEEE Trans. Biomed. Eng., 2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.
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.
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI-3D US Image Fusion.
IEEE Trans. Medical Imaging, 2021
CoRR, 2021
2020
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence.
Comput. Biol. Medicine, 2020
2019
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network.
CoRR, 2018
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?
Proceedings of the 14th International Workshop on Breast Imaging, 2018
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Medical Image Anal., 2017
2016
Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Automated linking of suspicious findings between automated 3D breast ultrasound volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.
Proceedings of the Breast Imaging, 2016
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework.
IEEE J. Biomed. Health Informatics, 2015
MRI-based visualization and augmented reality for breast surgery planning and guidance.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015
2014
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol.
IEEE Trans. Medical Imaging, 2014
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.
Medical Image Anal., 2014
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
IEEE Trans. Medical Imaging, September, 2013
IEEE Trans. Medical Imaging, 2013
Medical Image Anal., 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013