Symmetry-based detection and diagnosis of DCIS in breast MRI. - Abhilash Srikantha; Markus Thorsten Harz; Gillian Newstead; Lei Wang 025; Bram Platel; Katrin Hegenscheid; Ritse M. Mann; Horst K. Hahn; Heinz-Otto Peitgen (Computer-Aided Diagnosis, 2013)

Finding lesion correspondences in different views of automated 3D breast ultrasound. - Tao Tan 002; Bram Platel; Michael Hicks 004; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2013)

Chest wall segmentation in automated 3D breast ultrasound scans. - Tao Tan 002; Bram Platel; Ritse Mann; Henkjan J. Huisman; Nico Karssemeijer (Medical Image Anal., 2013)

Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes. - Guido van Schie; Ritse Mann; Mechli Imhof-Tas; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2013)

Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. - Tao Tan 002; Bram Platel; Roel Mus; László K. Tabár; Ritse M. Mann; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2013)

Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms. - Katharina Holland; Michiel Kallenberg; Ritse Mann; Carla van Gils; Nico Karssemeijer (Digital Mammography / IWDM, 2014)

Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. - Thomy Mertzanidou; John H. Hipwell; Mehmet Dalmis; Bram Platel; Jeroen van der Laak; Ritse Mann; Nico Karssemeijer; Peter Bult; David J. Hawkes (Digital Mammography / IWDM, 2014)

Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. - Tao Tan 002; Jan van Zelst; Wei Zhang; Ritse M. Mann; Bram Platel; Nico Karssemeijer (Computer-Aided Diagnosis, 2014)

MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. - Thomy Mertzanidou; John H. Hipwell; Stian Flage Johnsen; Lianghao Han; Björn Eiben; Zeike A. Taylor; Sébastien Ourselin; Henkjan J. Huisman; Ritse Mann; Ulrich Bick; Nico Karssemeijer; David J. Hawkes (Medical Image Anal., 2014)

Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol. - Bram Platel; Roel Mus; Tessa Welte; Nico Karssemeijer; Ritse Mann (IEEE Trans. Medical Imaging, 2014)

MRI-based visualization and augmented reality for breast surgery planning and guidance. - Christina Stöcker; Markus Thorsten Harz; Margrethe Schlooz-Vries; Ritse Mann; Kathy J. Schilling; Joseph Colletta; Joachim Georgii; Torben Pätz; Horst Karl Hahn (CURAC, 2015)

Automated localization of breast cancer in DCE-MRI. - Albert Gubern-Mérida; Robert Marti; Jaime Melendez; Jakob L. Hauth; Ritse M. Mann; Nico Karssemeijer; Bram Platel (Medical Image Anal., 2015)

Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework. - Albert Gubern-Mérida; Michiel Kallenberg; Ritse Mann; Robert Marti; Nico Karssemeijer (IEEE J. Biomed. Health Informatics, 2015)

Simulation and Visualization to Support Breast Surgery Planning. - Joachim Georgii; Torben Pätz; Markus Thorsten Harz; Christina Stöcker; Michael Rothgang; Joseph Colletta; Kathy J. Schilling; Margrethe Schlooz-Vries; Ritse M. Mann; Horst K. Hahn (Digital Mammography / IWDM, 2016)

Performance of Breast Cancer Screening Depends on Mammographic Compression. - Katharina Holland; Ioannis Sechopoulos; Gerard J. den Heeten; Ritse M. Mann; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography. - Thijs Kooi; Albert Gubern-Mérida; Jan-Jurre Mordang; Ritse Mann; Ruud Pijnappel; Klaas Schuur; Ard den Heeten; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. - Thomy Mertzanidou; John H. Hipwell; Sara Reis; Babak Ehteshami Bejnordi; Meyke Hermsen; Mehmet Dalmis; Suzan Vreemann; Bram Platel; Jeroen van der Laak; Nico Karssemeijer; Ritse Mann; Peter Bult; et al. (Digital Mammography / IWDM, 2016)

A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI. - Mehmet Ufuk Dalmis; Albert Gubern-Mérida; Cristina Borelli; Suzan Vreemann; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Automated linking of suspicious findings between automated 3D breast ultrasound volumes. - Albert Gubern-Mérida; Tao Tan 002; Jan van Zelst; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening. - Katharina Holland; Carla H. van Gils; Johanna O. P. Wanders; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Large scale deep learning for computer aided detection of mammographic lesions. - Thijs Kooi; Geert Litjens 001; Bram van Ginneken; Albert Gubern-Mérida; Clara I. Sánchez; Ritse Mann; Ard den Heeten; Nico Karssemeijer (Medical Image Anal., 2017)

Automated lesion detection and segmentation in digital mammography using a u-net deep learning network. - Timothy de Moor; Alejandro Rodríguez-Ruiz; Albert Gubern-Mérida; Ritse Mann; Jonas Teuwen (IWBI, 2018)

How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. - Alejandro Rodríguez-Ruiz; Ruben E. van Engen; Koen Michielsen; Ramona W. Bouwman; Suzan Vreemann; Nico Karssemeijer; Ritse M. Mann; Ioannis Sechopoulos (IWBI, 2018)

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? - Alejandro Rodríguez-Ruiz; Jan-Jurre Mordang; Nico Karssemeijer; Ioannis Sechopoulos; Ritse M. Mann (IWBI, 2018)

Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network. - Timothy de Moor; Alejandro Rodríguez-Ruiz; Ritse Mann; Jonas Teuwen (CoRR, 2018)

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. - Nikita Moriakov; Koen Michielsen; Jonas Adler; Ritse Mann; Ioannis Sechopoulos; Jonas Teuwen (CoRR, 2018)

Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images. - Marco Caballo; Jonas Teuwen; Ritse Mann; Ioannis Sechopoulos (Computer-Aided Diagnosis, 2019)

Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. - Joris van Vugt; Elena Marchiori; Ritse Mann; Albert Gubern-Mérida; Nikita Moriakov; Jonas Teuwen (Computer-Aided Diagnosis, 2019)

Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. - Marco Caballo; Domenico R. Pangallo; Ritse M. Mann; Ioannis Sechopoulos (Comput. Biol. Medicine, 2020)

Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. - Fazael Ayatollahi; Shahriar B. Shokouhi; Ritse M. Mann; Jonas Teuwen (CoRR, 2021)

Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI-3D US Image Fusion. - Anton V. Nikolaev; Leon de Jong; Gert Weijers; Vincent Groenhuis; Ritse M. Mann; Françoise J. Siepel; Bogdan Mihai Maris; Stefano Stramigioli; Hendrik H. G. Hansen; Chris L. de Korte (IEEE Trans. Medical Imaging, 2021)

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning. - Luyi Han; Yunzhi Huang; Tao Tan 002; Ritse Mann (BrainLes@MICCAI (2), 2022)

4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. - Marco Caballo; Wendelien B. G. Sanderink; Luyi Han; Yuan Gao; Alexandra Athanasiou; Ritse M. Mann (Computer-Aided Diagnosis, 2022)

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. - Haoran Dou; Luyi Han; Yushuang He; Jun Xu 005; Nishant Ravikumar; Ritse Mann; Alejandro F. Frangi; Pew-Thian Yap; Yunzhi Huang (MICCAI (4), 2022)

In Vivo 3D Power Doppler Imaging Using Continuous Translation and Ultrafast Ultrasound. - Chuan Chen; Gijs A. G. M. Hendriks; Stein Fekkes; Ritse M. Mann; Jan Menssen; Carmen C. N. Siebers; Chris L. de Korte; Hendrik H. G. Hansen (IEEE Trans. Biomed. Eng., 2022)

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. - Haoran Dou; Ning Bi; Luyi Han; Yuhao Huang 001; Ritse Mann; Xin Yang 009; Dong Ni 001; Nishant Ravikumar; Alejandro F. Frangi; Yunzhi Huang (MICCAI (10), 2023)

Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. - Luyi Han; Tao Tan 002; Ritse Mann (BraTS/CrossMoDA@MICCAI, 2023)

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. - Luyi Han; Tianyu Zhang 006; Yunzhi Huang; Haoran Dou; Xin Wang 121; Yuan Gao; Chunyao Lu; Tao Tan 002; Ritse Mann (MICCAI (10), 2023)

DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. - Xin Wang 121; Tao Tan 002; Yuan Gao; Luyi Han; Tianyu Zhang 006; Chunyao Lu; Regina Beets-Tan; Ruisheng Su; Ritse Mann (MICCAI (7), 2023)

Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (7), 2023)

IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jonas Teuwen; Regina Beets-Tan; Ritse Mann (CoRR, 2023)

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. - Tianyu Zhang 006; Luyi Han; Anna D'Angelo; Xin Wang 121; Yuan Gao; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (CoRR, 2023)

2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. - Xin Wang 121; Ruisheng Su; Weiyi Xie; Wenjin Wang 002; Yi Xu; Ritse Mann; Jungong Han; Tao Tan 002 (Biomed. Signal Process. Control., 2023)

Radiomics and artificial intelligence in breast imaging: a survey. - Tianyu Zhang 006; Tao Tan 002; Riccardo Samperna; Zhang Li; Yuan Gao; Xin Wang 121; Luyi Han; Qifeng Yu; Regina G. H. Beets-Tan; Ritse M. Mann (Artif. Intell. Rev., 2023)

One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation. - Jarek van Dijk; Luyi Han; Luuk Balkenende; Nika Rasoolzadeh; Karine R. Morche; Tianyu Zhang 006; Ritse M. Mann (Deep-Breath@MICCAI, 2024)

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. - Yuan Gao; Hong-Yu Zhou; Xin Wang 121; Tianyu Zhang 006; Luyi Han; Chunyao Lu; Xinglong Liang; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (1), 2024)

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Xinglong Liang; Haoran Dou; Yunzhi Huang; Ritse Mann (MICCAI (11), 2024)

Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model. - Nika Rasoolzadeh; Tianyu Zhang 006; Yuan Gao; Jarek van Dijk; Qiuhui Yang; Tao Tan 002; Ritse M. Mann (Deep-Breath@MICCAI, 2024)

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. - Xin Wang 121; Tao Tan 002; Yuan Gao; Eric Marcus; Luyi Han; Antonio Portaluri; Tianyu Zhang 006; Chunyao Lu; Xinglong Liang; Regina Beets-Tan; Jonas Teuwen; Ritse Mann (MICCAI (1), 2024)

To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Yuan Gao; Xin Wang 121; Valentina Longo; Sofía Ventura-Díaz; Anna D'Angelo; Jonas Teuwen; Ritse Mann (CoRR, 2024)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. - Tianyu Zhang 006; Tao Tan 002; Luyi Han; Xin Wang 121; Yuan Gao; Jarek van Dijk; Antonio Portaluri; Abel Gonzalez-Huete; Anna D'Angelo; Chunyao Lu; Jonas Teuwen; Regina Beets-Tan; et al. (Inf. Fusion, 2024)

Improving lesion volume measurements on digital mammograms. - Nikita Moriakov; Jim Peters; Ritse Mann; Nico Karssemeijer; Jos van Dijck; Mireille J. M. Broeders; Jonas Teuwen (Medical Image Anal., 2024)

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Yunzhi Huang; Xin Wang 121; Yuan Gao; Jonas Teuwen; Ritse Mann (Medical Image Anal., 2024)

A European Multi-Center Breast Cancer MRI Dataset. - Gustav Müller-Franzes; Lorena Escudero Sanchez; Nicholas Payne; Alexandra Athanasiou; Michael Kalogeropoulos; Aitor Lopez; Alfredo Miguel Soro Busto; Julia Camps Herrero; Nika Rasoolzadeh; Tianyu Zhang 006; Ritse Mann; Debora Jutz; et al. (CoRR, 2025)

Foundation Models in Medical Imaging - A Review and Outlook. - Vivien van Veldhuizen; Vanessa Botha; Chunyao Lu; Melis Erdal Cesur; Kevin Groot Lipman; Edwin D. de Jong; Hugo M. Horlings; Clarisa I. Sánchez; Cees G. M. Snoek; Lodewyk F. A. Wessels; Ritse Mann; Eric Marcus; et al. (CoRR, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey. - Hao Yang; Xinlong Liang; Zhang Li; Yue Sun; Zheyu Hu; Xinghe Xie; Behdad Dashtbozorg; Jincheng Huang; Shiwei Zhu; Luyi Han; Jiong Zhang; Shanshan Wang; et al. (CoRR, 2025)

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. - Xinglong Liang; Jiaju Huang; Luyi Han; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Lishan Cai; Tao Tan 002; Ritse Mann (CoRR, 2025)