Ritse M. Mann

16.8k citations

215 papers · 9.1k indexed · 8 hit papers · h-index 49

Impact in

Health Informatics top 0.05%
Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications

Papers in

Radiology, Nuclear Medicine and Imaging 140
- Radiomics and Machine Learning in Medical Imaging 80
- MRI in cancer diagnosis 71
- Medical Imaging Techniques and Applications 35
Health Informatics 6

Co-authors: Nico Karssemeijer Linda Moy Albert Gubern‐Mérida C. Boetes Ioannis Sechopoulos Christiane Kühl Nariya Cho Karen Kinkel
Journals: European Radiology (26 papers)Radiology (19 papers)European Journal of Radiology (11 papers)Breast Cancer Research and Treatment (11 papers)Medical Physics (9 papers)
Partner nations: Netherlands United States Italy

In The Last Decade

Ritse M. Mann

195 papers receiving 8.9k citations

Hit Papers

8 papers align trajectories log scale

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis 2023 · 85 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Radiology
2019 Radiology
2019 European Radiology
2019 New England Journal of Medicine
2018 Radiology
2018 JNCI Journal of the National Cancer Institute
2016 Medical Image Analysis
2008 European Radiology

Peers

Countries citing papers authored by Ritse M. Mann

Since Specialization

Citations

This map shows the geographic impact of Ritse M. Mann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ritse M. Mann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritse M. Mann more than expected).

Fields of papers citing papers by Ritse M. Mann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ritse M. Mann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ritse M. Mann. The network helps show where Ritse M. Mann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ritse M. Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ritse M. Mann Line = papers co-authored together Ritse M. Mann links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Breast MRI to Screen Women With Extremely Dense Breasts Journal of Magnetic Resonance Imaging ·F. Müggler‐Chavan, Ritse M. Mann	2025	0
2	ESR Essentials: artificial intelligence in breast imaging—practice recommendations by the European Society of Breast Imaging European Radiology ·Simone Schiaffino, Daniela Bernardi, Nuala Healy, Maria Adele Marino, Valeria Romeo, Ioannis Sechopoulos, Ritse M. Mann, Katja Pinker	2025	1
3	Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history npj Breast Cancer ·NSA Hadi, Tao Tan, Farida Khatou, U. Eisner, Aurélie Minne, Khaled Chouana, Tianyu Zhang, Anna D’Angelo, Luyi Han, Caroline A. Drukker, Marjanka K. Schmidt, Regina G. H. Beets‐Tan, Nico Karssemeijer, Ritse M. Mann	2025	1
4	Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment IEEE Journal of Biomedical and Health Informatics ·Yuan Gao, Tao Tan, Xin Wang, Regina G. H. Beets‐Tan, Tianyu Zhang, Luyi Han, R. Rodriguez-Campillo, Rikke Kongsgaard Rasmussen, Guilhem Pone Gallart, Aurélie Minne, Hong-Yu Zhou, Ritse M. Mann	2025	1
5	Exploring MRI and Mammography Lesion Features for Breast Cancer Detection in PTEN Hamartoma Tumor Syndrome Cancers ·Dhammananda Khadkutkar, Zan Wenbo, Igli Kokalari, L Galant, Nicoline Hoogerbrugge, Ritse M. Mann	2025	0
6	Contrast-enhanced Mammography versus MR Imaging of the Breast Radiologic Clinics of North America ·Ritse M. Mann, Valentina Longo	2024	5
7	Current use and future perspectives of contrast-enhanced mammography (CEM): a survey by the European Society of Breast Imaging (EUSOBI) European Radiology ·Simone Schiaffino, Andrea Cozzi, Paola Clauser, Elisabetta Giannotti, Maria Adele Marino, Thiemo J. A. van Nijnatten, Pascal Baltzer, Marc B. I. Lobbes, Ritse M. Mann, Katja Pinker, Michael Fuchsjäger, Ruud M. Pijnappel, (unknown)	2024	6
8	Joint EANM-SNMMI guideline on the role of 2-[18F]FDG PET/CT in no special type breast cancer European Journal of Nuclear Medicine and Molecular Imaging ·Sofia C. Vaz, J.P. Pilkington Woll, Fátima Cardoso, David Groheux, Gary Cook, Gary A. Ulaner, Heather A. Jacene, Isabel T. Rubio, Jan W. Schoones, Marie-Jeanne T. F. D. Vrancken Peeters, Philip Poortmans, Ritse M. Mann, Stephanie L. Graff, Elizabeth H. Dibble, Lioe‐Fee de Geus‐Oei	2024	30
9	A survey by the European Society of Breast Imaging on radiologists’ preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography European Radiology ·M.I. Gulyukin, Paola Clauser, Fiona J. Gilbert, Ruud M. Pijnappel, Ritse M. Mann, Pascal Baltzer, Yan Chen, Eva Maria Fallenberg	2023	0
10	Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions European Radiology ·М.Г. Костадинов, Simona Turco, Panagiotis Kapetas, Ritse M. Mann, Hessel Wijkstra, Chris L. de Korte, Massimo Mischi	2023	1
11	Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis Radiology ·Jung Hyun Yoon, Fredrik Strand, Pascal Baltzer, Emily F. Conant, Fiona J. Gilbert, Constance D. Lehman, Elizabeth A. Morris, Lisa A. Mullen, Robert M. Nishikawa, Nisha Sharma, Ilse Vejborg, Linda Moy, Ritse M. Mann Hit paper breakdown →	2023	85
12	Breast DWI Analyzed Before and After Gadolinium Contrast Administration—An Intrapatient Analysis on 1.5 T and 3.0 T Investigative Radiology ·大田一之, Robert‐Jan Schipper, Т. Е. Денискова, Leon C. ter Beek, Regina G. H. Beets‐Tan, Ritse M. Mann	2023	1
13	The yield and effectiveness of breast cancer surveillance in women with PTEN Hamartoma Tumor Syndrome Cancer ·Dhammananda Khadkutkar, Li‐Ting Szu, Janet R. Vos, Peter Bult, Ritse M. Mann, Nicoline Hoogerbrugge	2022	8
14	Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms Radiology ·Leonardo Pacheco, Elisabeth Jesica Bere, Zhongda Ren, Maria Castrellon Pardo, Alejandro Rodríguez‐Ruiz, Mehmet Ufuk Dalmış, Nico Karssemeijer, Carla H. van Gils, Ioannis Sechopoulos, Ritse M. Mann, Cornelis J. van Rooden	2022	37
15	Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis Radiology ·Kang Wen, Alejandro Rodríguez‐Ruiz, Angulo Rafael, Solveig Hofvind, Minchen Liu, S. Kappler, Ritse M. Mann, Ioannis Sechopoulos	2021	54
16	Factors affecting the value of diffusion-weighted imaging for identifying breast cancer patients with pathological complete response on neoadjuvant systemic therapy: a systematic review Insights into Imaging ·大田一之, Marco Badilatti, Monty Spangler, Leon C. ter Beek, Claudette E. Loo, Ritse M. Mann, Regina G. H. Beets‐Tan	2021	14
17	Development of 3D patient-based super-resolution digital breast phantoms using machine learning Physics in Medicine and Biology ·Marco Caballo, Christian Fedon, Luca Brombal, Ritse M. Mann, Renata Longo, Ioannis Sechopoulos	2018	12
18	Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound Ultrasound in Medicine & Biology ·Jan van Zelst, Maschenka Balkenhol, Tao Tan, Matthieu Rutten, Serena Carrano, Peter Bult, Nico Karssemeijer, Ritse M. Mann	2017	8
19	ECR 2015 Book of Abstracts - D - Satellite Symposia Insights into Imaging ·Sylvia H. Heywang‐Köbrunner, Ritse M. Mann, Sharon Lesner, Stéphanie Franchi‐Abella, Georg Salomon, 单艳芬, Mickaël Tanter, Joachim E. Wildberger, Axelle Boulay, Tim Leiner, Lindsay W. Turnbull, Catherine Roy, 公野勉, Robert Schmitt, Peparaio Marina, 王珑玲, Ruth Neo	2015	1
20	Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk European Journal of Radiology ·Albert Gubern‐Mérida, Suzan Vreemann, Robert Martí, Jaime Melendez, Peteris Ponnis, Ritse M. Mann, Nico Karssemeijer, Bram Platel	2015	21

About Ritse M. Mann

Ritse M. Mann is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Cancer Research, Artificial Intelligence and Pathology and Forensic Medicine, having authored 215 papers that have together received 9.1k indexed citations. Recurring topics across this work include AI in cancer detection (98 papers), Radiomics and Machine Learning in Medical Imaging (80 papers), MRI in cancer diagnosis (71 papers), Digital Radiography and Breast Imaging (69 papers), Breast Lesions and Carcinomas (52 papers), Breast Cancer Treatment Studies (47 papers), Medical Imaging Techniques and Applications (35 papers) and Global Cancer Incidence and Screening (29 papers). The work is most often cited by research in Health Informatics (687 citations), Radiology, Nuclear Medicine and Imaging (6.5k citations), Artificial Intelligence (3.8k citations), Cancer Research (1.3k citations) and Pathology and Forensic Medicine (1.5k citations). Ritse M. Mann has collaborated with scholars based in Netherlands, United States and Italy. Frequent co-authors include Nico Karssemeijer, Linda Moy, Albert Gubern‐Mérida, C. Boetes, Ioannis Sechopoulos, Christiane Kühl, Nariya Cho, Karen Kinkel, Jonas Teuwen and Bram Platel. Their work appears in journals such as European Radiology, Radiology, European Journal of Radiology, Breast Cancer Research and Treatment and Medical Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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