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R

Ritse M. Mann

netherlands cancer institute

65H-index
397Paper Count
1.7WCitation Count
Published Papers 168
Publication Date
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MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI
errNature Communications
IF15.7
err2026-08-08
err0
errOAAI
errZhuoneng Zhang; Luyi Han; Dengqiang Jia; Yuanfeng Wei; Tianyu Zhang; Jiaju Huang; Da Huang; Yapeng Wang; Shandong Wu; Michiel Kallenberg; Ritse Mann; Chenggong Yan; Yue Sun; Tao Tan
errShare
errSave
Leveraging modality-guided pre-training for dual-prompt-driven multi-cancer PET-CT segmentation
errMedical Image Analysis
IF11.8
err2026-06-20
err0
PREAI
errXinglong Liang; Jiaju Huang; Tianyu Zhang; Luyi Han; Xin Wang; Yuan Gao; Chunyao Lu; Yue Sun; Jonas Teuwen; Tao Tan; Ritse Mann
errShare
errSave
Reappraising screening metrics and methodological considerations in artificial intelligence-augmented mammography
errThe Lancet Digital Health
IF0
err2026-03-16
err0
errOAAI
errSuzanne L van Winkel; Ritse M Mann
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errSave
Can multimodal AI bridge imaging and prognosis in breast cancer?
errEuropean Radiology
IF4.7
err2026-02-13
err0
PREAI
errTianyu Zhang; Nika Rasoolzadeh; Ritse M. Mann
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errSave
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
errMEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT VI
IF0
err2026-01-01
err1
PREAI
errLiang, Xinglong; Huang, Jiaju; Han, Luyi; Zhang, Tianyu; Wang, Xin; Gao, Yuan; Lu, Chunyao; Cai, Lishan; Tan, Tao; Mann, Ritse
errShare
errSave
Training Set Diversity: A Key Factor in AI-Driven Breast Ultrasound Classification
errARTIFICIAL INTELLIGENCE AND IMAGING FOR DIAGNOSTIC AND TREATMENT CHALLENGES IN BREAST CARE, DEEP-BREATH 2025
IF0
err2026-01-01
err0
PREAI
errMes, Rebecca; Wijkhuizen, Mark; Van Karnenbeek, Lennard M.; Tan, Tao; Mann, Ritse; Ruers, Theo; Geldof, Freija; Dashtbozorg, Behdad
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errSave
Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Modelwith Multiview Mammograms and Associated Reports
errRadiology-Artificial Intelligence
IF13.2
err2026-01-01
err0
PREAI
errGao, Yuan; Zhou, Hong-Yu; Wang, Xin; Portaluri, Antonio; Zhang, Tianyu; Beets-Tan, Regina; Han, Luyi; Lu, Chunyao; Estacio, Laura; Da'ngelo, Anna; Ursprung, Stephan; Yu, Yizhou; Teuwen, Jonas; Tan, Tao; Mann, Ritse
errShare
errSave
Contribution of mammographic imaging after initial ultrasound in women with focal breast complaints—systematic review
errEuropean Radiology
IF4.7
err2025-12-19
err0
PREAI
errLinda Appelman; Eugenio Gil Quessep; Liesbeth Veenendaal; Carmen Siebers; Marialena Tsarouchi; Wendelien Sanderink; Alexandra Athanasiou; Ritse Mann
errShare
errSave
Mammo-AGE: deep learning estimation of breast age from mammograms
errNature Communications
IF15.7
err2025-12-08
err0
errOAAI
errXin Wang; Tao Tan; Yuan Gao; Hong-Yu Zhou; Tianyu Zhang; Luyi Han; Antonio Portaluri; Eric Marcus; Chunyao Lu; Caroline A. Drukker; Jonas Teuwen; Regina Beets-Tan; Shanshan Wang; Nico Karssemeijer; Ritse Mann
errShare
errSave
Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in Situ
errRADIOLOGY
IF15.2
err2025-11-01
err0
PREAI
errHou, Rui; Grimm, Lars J.; Marks, Jeffrey R.; King, Lorraine M.; Lynch, Thomas; Rogers, Keith; Lyburn, Iain D.; Stone, Nicholas; Wallis, Matthew; Mann, Ritse M.; Lips, Esther H.; Alaeikhanehshir, Sena; Van Leeuwen, Merle M.; Teuwen, Jonas; Wesseling, Jelle; Lo, Joseph Y.; Hwang, E. Shelley
errShare
errSave
Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history
errnpj Breast Cancer
IF7.6
err2025-10-29
err0
errOAAI
errXin Wang; Tao Tan; Yuan Gao; Ruisheng Su; Jonas Teuwen; Jaap Kroes; Tianyu Zhang; Anna D’Angelo; Luyi Han; Caroline A. Drukker; Marjanka K. Schmidt; Regina Beets-Tan; Nico Karssemeijer; Ritse Mann
errShare
errSave
Multimodal artificial intelligence in breast cancer: towards integrated prediction and personalized care
errEuropean Radiology
IF4.7
err2025-10-22
err0
PREAI
errTianyu Zhang; Xinglong Liang; Ritse M. Mann
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errSave
AI in breast imaging: A systematic review of reader studies evaluating design, performance, and clinical impact
errMedical Physics
IF3.2
err2025-10-09
err0
PREAI
errChunyao Lu; Tao Tan; Lifang Yu; Poorya MohammadiNasab; Tianyu Zhang; Hua Zhang; Mohsen Soryani; Ritse Mann; Ehsan Kozegar; Lingyun Bao
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errSave
Immunohistological and electron microscopy profile of unique TIRM-MRI guided muscle biopsies of FSHD patients
errJournal of Neuromuscular Diseases
IF3.4
err2025-10-06
err0
errOAAI
errAnna Greco; Benno Kusters; Ritse Mann; Jurgen Futterer; Leon de Jong; Yordy Welling; Marieke Ploegmakers; Ger JM Pruijn; Leo AB Joosten; Baziel G. M. van Engelen
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errSave
Image-guided biopsy of breast lesions—when to use what biopsy technique
errInsights into Imaging
IF4.5
err2025-09-25
err0
errOAAI
errWendelien B. G. Sanderink; Julia Camps-Herrero; Alexandra Athanasiou; Henrique L. Couto; Kirti Mehta; Popat Palak Bhavesh Thakkar; Pooja Jagmohan; Sara E. Vázquez-Manjarrez; Seigo Nakamura; Jelle Wesseling; Ritse M. Mann
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errSave
ESR Essentials: artificial intelligence in breast imaging—practice recommendations by the European Society of Breast Imaging
errEuropean Radiology
IF4.7
err2025-08-26
err0
errOAAI
errSimone Schiaffino; Daniela Bernardi; Nuala Healy; Maria Adele Marino; Valeria Romeo; Ioannis Sechopoulos; Ritse M. Mann; Katja Pinker
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errSave
Response to Letter to the Editor Regarding: “Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening”
errJournal of Magnetic Resonance Imaging
IF3.5
err2025-08-22
err0
PREAI
errLuuk Balkenende; Ritse M. Mann
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errSave
AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study
errlancet digital health
IF0
err2025-08-14
err0
errOAAI
errSuzanne L van Winkel; Jim Peters; Natasja Janssen; Jaap Kroes; Elizabeth A Loehrer; Jessie Gommers; Ioannis Sechopoulos; Linda de Munck; Jonas Teuwen; Mireille Broeders; Nico Karssemeijer; Ritse M Mann
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errSave
ESR Essentials: post-treatment breast cancer surveillance from mammography to a more personalised approach-practice recommendations by the European Society of Breast Imaging
errEuropean Radiology
IF4.7
err2025-08-14
err0
PREAI
errElisabetta Giannotti; Marcella Pasculli; Tamar Sella; Chantal Van Ongeval; Magda Marcon; Mihai Lesaru; Julia Camps-Herrero; Ritse M. Mann; Federica Pediconi
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errSave
All-in-one medical image-to-image translation
errCell Reports Methods
IF4.5
err2025-08-11
err0
errOAAI
errLuyi Han; Tao Tan; Yunzhi Huang; Haoran Dou; Tianyu Zhang; Yuan Gao; Xin Wang; Chunyao Lu; Xinglong Liang; Yue Sun; Jonas Teuwen; S. Kevin Zhou; Ritse Mann
errShare
errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
M
Mihai G. Netea
H-index: 183 · Papers: 1.7K
L
Leo A. B. Joosten
H-index: 147 · Papers: 1.0K
R
R. Graham Barr
H-index: 124 · Papers: 1.2K
D
Diether Lambrechts
H-index: 122 · Papers: 1.3K
S
Sébastien Ourselin
H-index: 119 · Papers: 1.8K
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