Ritse Mann

56 papers A* 1Journal 34Unranked 20
YearRankTypeTitle / Venue / Authors
2026 — ed.
Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - Second Deep Breast Workshop, Deep-Breath 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Deep-Breath@MICCAI
Tianyu Zhang, Oliver Lester Saldanha, Luyi Han, Nika Rasoolzadeh, Lidia Garrucho Moras, Jarek van Dijk, Tao Tan, Jakob Nikolas Kather, Ritse Mann
2026 J jnl
Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.
Medical Image Anal.
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Hong-Yu Zhou, Chunyao Lu, Luyi Han, Antonio Portaluri, Ruisheng Su, Tianyu Zhang, Xinglong Liang, Regina Beets-Tan, Katja Pinker-Domenig, Yue Sun, Ritse Mann, Jonas Teuwen
2026 A* conf
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence.
AAAI
Chunyao Lu, Tianyu Zhang, Xinglong Liang, Yuan Gao, Luyi Han, Xin Wang, Nika Rasoolzadeh, Tao Tan, Ritse Mann
2025 J jnl
A European Multi-Center Breast Cancer MRI Dataset.
CoRR
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, Ritse Mann, Debora Jutz, Maike Bode, Christiane Kuhl, Wouter Veldhuis, Oliver Lester Saldanha, Jiefu Zhu, Jakob Nikolas Kather, Daniel Truhn, Fiona J. Gilbert
2025 — conf
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation.
MICCAI (6)
Xinglong Liang, Jiaju Huang, Luyi Han, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Lishan Cai, Tao Tan, Ritse Mann
2025 J jnl
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation.
CoRR
Xinglong Liang, Jiaju Huang, Luyi Han, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Lishan Cai, Tao Tan, Ritse Mann
2025 J jnl
Foundation Models in Medical Imaging - A Review and Outlook.
CoRR
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, Jonas Teuwen
2025 J jnl
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment.
IEEE J. Biomed. Health Informatics
Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, Luyi Han, Antonio Portaluri, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Hong-Yu Zhou, Ritse Mann
2025 J jnl
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey.
CoRR
Hao Yang, Xinlong Liang, Zhang Li, Yue Sun, Zheyu Hu, Xinghe Xie, Behdad Dashtbozorg, Jincheng Huang, Shiwei Zhu, Luyi Han, Jiong Zhang, Shanshan Wang, Ritse Mann, Qifeng Yu, Tao Tan
2025 — conf
Training Set Diversity: A Key Factor in AI-Driven Breast Ultrasound Classification.
Deep-Breath@MICCAI
Rebecca Mes, Mark Wijkhuizen, Lennard M. van Karnenbeek, Tao Tan, Ritse Mann, Theo Ruers, Freija Geldof, Behdad Dashtbozorg
2025 J jnl
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023.
CoRR
Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren
2024 J jnl
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data.
Inf. Fusion
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann
2024 — conf
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model.
MICCAI (1)
Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2024 J jnl
Improving lesion volume measurements on digital mammograms.
Medical Image Anal.
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
2024 J jnl
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.
CoRR
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, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir
2024 J jnl
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI.
CoRR
Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann
2024 — conf
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI.
MICCAI (11)
Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann
2024 — conf
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
MICCAI (1)
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann
2024 J jnl
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms.
CoRR
Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann
2024 J jnl
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.
Medical Image Anal.
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
2024 J jnl
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection.
CoRR
Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann
2023 J jnl
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data.
Biomed. Signal Process. Control.
Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan
2023 — conf
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.
MICCAI (10)
Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann
2023 J jnl
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis.
CoRR
Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann
2023 — conf
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning.
MICCAI (7)
Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann
2023 J jnl
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning.
CoRR
Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann
2023 — conf
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.
BraTS/CrossMoDA@MICCAI
Luyi Han, Tao Tan, Ritse Mann
2023 J jnl
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation.
CoRR
Luyi Han, Tao Tan, Ritse Mann
2023 — conf
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.
MICCAI (10)
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
2023 J jnl
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration.
CoRR
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
2023 J jnl
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data.
CoRR
Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann
2023 J jnl
Improving Lesion Volume Measurements on Digital Mammograms.
CoRR
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
2023 J jnl
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism.
CoRR
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2023 — conf
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism.
MICCAI (7)
Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
2023 J jnl
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI.
CoRR
Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
2022 — conf
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.
MICCAI (4)
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
2022 J jnl
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.
CoRR
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
2022 — conf
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning.
BrainLes@MICCAI (2)
Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann
2022 J jnl
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning.
CoRR
Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann
2019 — conf
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images.
Computer-Aided Diagnosis
Marco Caballo, Jonas Teuwen, Ritse Mann, Ioannis Sechopoulos
2019 — conf
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
Computer-Aided Diagnosis
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen
2018 — conf
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network.
IWBI
Timothy de Moor, Alejandro Rodríguez-Ruiz, Albert Gubern-Mérida, Ritse Mann, Jonas Teuwen
2018 J jnl
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network.
CoRR
Timothy de Moor, Alejandro Rodríguez-Ruiz, Ritse Mann, Jonas Teuwen
2018 J jnl
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.
CoRR
Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen
2018 J jnl
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation.
CoRR
Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen
2017 J jnl
Large scale deep learning for computer aided detection of mammographic lesions.
Medical Image Anal.
Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer
2016 — conf
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.
Digital Mammography / IWDM
Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer
2016 — conf
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.
Digital Mammography / IWDM
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, David J. Hawkes
2015 J jnl
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework.
IEEE J. Biomed. Health Informatics
Albert Gubern-Mérida, Michiel Kallenberg, Ritse Mann, Robert Marti, Nico Karssemeijer
2015 — conf
MRI-based visualization and augmented reality for breast surgery planning and guidance.
CURAC
Christina Stöcker, Markus Thorsten Harz, Margrethe Schlooz-Vries, Ritse Mann, Kathy J. Schilling, Joseph Colletta, Joachim Georgii, Torben Pätz, Horst Karl Hahn
2014 J jnl
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol.
IEEE Trans. Medical Imaging
Bram Platel, Roel Mus, Tessa Welte, Nico Karssemeijer, Ritse Mann
2014 J jnl
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.
Medical Image Anal.
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
2014 — conf
Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms.
Digital Mammography / IWDM
Katharina Holland, Michiel Kallenberg, Ritse Mann, Carla van Gils, Nico Karssemeijer
2014 — conf
Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging.
Digital Mammography / IWDM
Thomy Mertzanidou, John H. Hipwell, Mehmet Dalmis, Bram Platel, Jeroen van der Laak, Ritse Mann, Nico Karssemeijer, Peter Bult, David J. Hawkes
2013 J jnl
Chest wall segmentation in automated 3D breast ultrasound scans.
Medical Image Anal.
Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer
2013 J jnl
Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes.
IEEE Trans. Medical Imaging
Guido van Schie, Ritse Mann, Mechli Imhof-Tas, Nico Karssemeijer