Ritse Mann

Orcid: 0000-0001-8111-1930

According to our database1, Ritse Mann authored at least 49 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal., February, 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

2023
Radiomics and artificial intelligence in breast imaging: a survey.
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

Improving Lesion Volume Measurements on Digital Mammograms.
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

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

Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning.
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, 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, 2019

2018
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.
CoRR, 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
Large scale deep learning for computer aided detection of mammographic lesions.
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, California, United States, 27 February, 2016

Automated linking of suspicious findings between automated 3D breast ultrasound volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 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, California, United States, 27 February, 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

Performance of Breast Cancer Screening Depends on Mammographic Compression.
Proceedings of the Breast Imaging, 2016

Simulation and Visualization to Support Breast Surgery Planning.
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

Automated localization of breast cancer in DCE-MRI.
Medical Image Anal., 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, 2014

Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound.
IEEE Trans. Medical Imaging, September, 2013

Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes.
IEEE Trans. Medical Imaging, 2013

Chest wall segmentation in automated 3D breast ultrasound scans.
Medical Image Anal., 2013

Finding lesion correspondences in different views of automated 3D breast ultrasound.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Symmetry-based detection and diagnosis of DCIS in breast MRI.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013


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