Sergey Primakov

1.8k citations

25 papers · 1.0k indexed · 1 hit paper · h-index 15

Impact in

Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Radiology, Nuclear Medicine and Imaging top 2%
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications

Papers in ⓘ

Health Informatics 4
- Artificial Intelligence in Healthcare and Education 4
Radiology, Nuclear Medicine and Imaging 23
- Radiomics and Machine Learning in Medical Imaging 20
- Medical Imaging Techniques and Applications 9
- MRI in cancer diagnosis 4

Co-authors: Philippe Lambin (23 shared papers)Abdalla Ibrahim (16 shared papers)Henry C. Woodruff (18 shared papers)Turkey Refaee (11 shared papers)Renée W. Y. Granzier (8 shared papers)Manon Beuque (6 shared papers)Sebastian Sanduleanu (6 shared papers)Guangyao Wu (4 shared papers)
Journals: Cancers (8 papers)Journal of Personalized Medicine (2 papers)Acta Orthopaedica (2 papers)Scientific Reports (1 paper)Radiotherapy and Oncology (1 paper)
Partner nations: Netherlands Germany Belgium

In The Last Decade

Sergey Primakov

25 papers receiving 1.0k citations

Hit Papers

align trajectories log scale

Radiomics: from qualitative to quantitative imaging 2020 · 224 citations

Peers

Countries citing papers authored by Sergey Primakov

Since Specialization

Citations

This map shows the geographic impact of Sergey Primakov'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 Sergey Primakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Primakov more than expected).

Fields of papers citing papers by Sergey Primakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Primakov. 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 Sergey Primakov. The network helps show where Sergey Primakov may publish in the future.

Co-authors

The 25 scholars most cited alongside Sergey Primakov, 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 Sergey Primakov Line = papers co-authored together Sergey Primakov links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Radiomics: from qualitative to quantitative imaging British Journal of Radiology ·William Rogers, Sithin Thulasi Seetha, Turkey Refaee, R. Lieverse, Renée W. Y. Granzier, Abdalla Ibrahim, Simon Keek, Sebastian Sanduleanu, Sergey Primakov, Manon Beuque, Damiënne Marcus, Alexander M.A. van der Wiel, Fadila Zerka, Cary Oberije, Janita E. van Timmeren, Henry C. Woodruff, Philippe Lambin Hit paper breakdown →	2020	224
2	Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework Methods ·Abdalla Ibrahim, Sergey Primakov, Manon Beuque, Henry C. Woodruff, Iva Halilaj, Guangyao Wu, Turkey Refaee, Renée W. Y. Granzier, Yousif Widaatalla, Roland Hustinx, Felix M. Mottaghy, Philippe Lambin	2020	166
3	Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods Journal of Personalized Medicine ·Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff, Vincent Andrearczyk, Henning Müller, Sergey Primakov, Zohaib Salahuddin, Avishek Chatterjee, Philippe Lambin	2021	116
4	Deep learning in fracture detection: a narrative review Acta Orthopaedica ·Pishtiwan H. S. Kalmet, Sebastian Sanduleanu, Sergey Primakov, Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Luca v. Hulst, Philippe Lambin, Martijn Poeze	2020	109
5	Deep learning for the fully automated segmentation of the inner ear on MRI Scientific Reports ·Akshayaa Vaidyanathan, Marly F. J. A. van der Lubbe, Ralph T. H. Leijenaar, Marc van Hoof, Fadila Zerka, Benjamin Miraglio, Sergey Primakov, Alida A. Postma, Tjasse D. Bruintjes, Monique A. L. Bilderbeek, Sebastiaan Hammer, Patrick F. M. Dammeijer, Vincent Van Rompaey, Henry C. Woodruff, Wim Vos, Seán Walsh, Raymond van de Berg, Philippe Lambin	2021	44
6	Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms Radiology ·Manon Beuque, Marc B. I. Lobbes, Yvonka van Wijk, Yousif Widaatalla, Sergey Primakov, Michael Majer, Corinne Balleyguier, Henry C. Woodruff, Philippe Lambin	2023	42
7	The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization Cancers ·Abdalla Ibrahim, Turkey Refaee, Sergey Primakov, Bruno Barufaldi, Raymond J. Acciavatti, Renée W. Y. Granzier, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Joachim E. Wildberger, Philippe Lambin, Andrew D. A. Maidment	2021	40
8	Radiomics Analysis for Clinical Decision Support in Nuclear Medicine Seminars in Nuclear Medicine ·Abdalla Ibrahim, Martin Vallières, Henry C. Woodruff, Sergey Primakov, Mohsen Beheshti, Simon Keek, Turkey Refaee, Sebastian Sanduleanu, Seán Walsh, Olivier Morin, Philippe Lambin, Roland Hustinx, Felix M. Mottaghy	2019	37
9	Hypoxia PET Imaging with [18F]-HX4—A Promising Next-Generation Tracer Cancers ·Sebastian Sanduleanu, Alexander M.A. van der Wiel, R. Lieverse, Damiënne Marcus, Abdalla Ibrahim, Sergey Primakov, Guangyao Wu, Jan Theys, Ala Yaromina, Ludwig J. Dubois, Philippe Lambin	2020	36
10	The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset PLoS ONE ·Abdalla Ibrahim, Turkey Refaee, Ralph T. H. Leijenaar, Sergey Primakov, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Andrew D. A. Maidment, Philippe Lambin	2021	30
11	MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study Cancers ·Renée W. Y. Granzier, Abdalla Ibrahim, Sergey Primakov, Sanaz Samiei, Thiemo J. A. van Nijnatten, Maaike de Boer, Esther M. Heuts, F J Hulsmans, Avishek Chatterjee, Philippe Lambin, Marc B. I. Lobbes, Henry C. Woodruff, Marjolein L. Smidt	2021	26
12	Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer Cancers ·Sanaz Samiei, Renée W. Y. Granzier, Abdalla Ibrahim, Sergey Primakov, Marc B. I. Lobbes, Regina G. H. Beets‐Tan, Thiemo J. A. van Nijnatten, Sanne Engelen, Henry C. Woodruff, Marjolein L. Smidt	2021	25
13	Test–Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability Journal of Magnetic Resonance Imaging ·Renée W. Y. Granzier, Abdalla Ibrahim, Sergey Primakov, Simon Keek, Iva Halilaj, Alex Zwanenburg, S. Engelen, M. Lobbes, Philippe Lambin, Henry C. Woodruff, Marjolein L. Smidt	2021	20
14	A Prospectively Validated Prognostic Model for Patients with Locally Advanced Squamous Cell Carcinoma of the Head and Neck Based on Radiomics of Computed Tomography Images Cancers ·Simon Keek, Frederik Wesseling, Henry C. Woodruff, Janita E. van Timmeren, Irene H. Nauta, Thomas K. Hoffmann, Stefano Cavalieri, Giuseppina Calareso, Sergey Primakov, Ralph T. H. Leijenaar, Lisa Licitra, Marco Ravanelli, Kathrin Scheckenbach, Tito Poli, Davide Lanfranco, Marije R. Vergeer, C. René Leemans, Ruud H. Brakenhoff, Frank Hoebers, Philippe Lambin	2021	19
15	Beyond automatic medical image segmentation—the spectrum between fully manual and fully automatic delineation Physics in Medicine and Biology ·Michael J. Trimpl, Sergey Primakov, Philippe Lambin, Eleanor Stride, Katherine A. Vallis, Mark J. Gooding	2022	18
16	Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data Cancers ·Abdalla Ibrahim, Yousif Widaatalla, Turkey Refaee, Sergey Primakov, Razvan L. Miclea, Osman Öcal, Matthias P. Fabritius, Michael Ingrisch, Jens Ricke, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Max Seidensticker, Philippe Lambin	2021	14
17	Deep learning based identification of bone scintigraphies containing metastatic bone disease foci Cancer Imaging ·Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Céline Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Seán Walsh, Wim Vos, Mariaelena Occhipinti, François‐Xavier Hanin, Philippe Lambin, Felix M. Mottaghy, Roland Hustinx	2023	11
18	Reply to Orlhac, F.; Buvat, I. Comment on “Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848” Cancers ·Abdalla Ibrahim, Turkey Refaee, Sergey Primakov, Bruno Barufaldi, Raymond J. Acciavatti, Renée W. Y. Granzier, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Joachim E. Wildberger, Philippe Lambin, Andrew D. A. Maidment	2021	10
19	Deep learning in fracture detection: a narrative review Acta Orthopaedica ·Pishtiwan H. S. Kalmet, Sebastian Sanduleanu, Sergey Primakov, Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Luca v. Hulst, Philippe Lambin, Martijn Poeze	2020	9
20	Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics Frontiers in Oncology ·Simon Keek, Manon Beuque, Sergey Primakov, Henry C. Woodruff, Avishek Chatterjee, Janita E. van Timmeren, Martin Vallières, Lizza Hendriks, Johannes Kraft, Nicolaus Andratschke, Steve Braunstein, Olivier Morin, Philippe Lambin	2022	8

About Sergey Primakov

Sergey Primakov is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging Techniques and Applications (9 papers), AI in cancer detection (9 papers), Advanced X-ray and CT Imaging (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), MRI in cancer diagnosis (4 papers), Sarcoma Diagnosis and Treatment (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Health Informatics (123 citations), Radiology, Nuclear Medicine and Imaging (828 citations), Pulmonary and Respiratory Medicine (247 citations), Biomedical Engineering (328 citations) and Otorhinolaryngology (32 citations). Sergey Primakov has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Philippe Lambin, Abdalla Ibrahim, Henry C. Woodruff, Turkey Refaee, Renée W. Y. Granzier, Manon Beuque, Sebastian Sanduleanu, Guangyao Wu, Felix M. Mottaghy and Simon Keek. Their work appears in journals such as Cancers, Journal of Personalized Medicine, Acta Orthopaedica, Scientific Reports and Radiotherapy and Oncology.

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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