Nikolas Stathonikos

5.0k citations

32 papers · 687 indexed · h-index 14

Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education 4
Biophysics top 5%
- Cell Image Analysis Techniques 4
Artificial Intelligence top 2%
- AI in cancer detection 25
Radiology, Nuclear Medicine and Imaging top 5%
- Radiomics and Machine Learning in Medical Imaging 14
Computer Vision and Pattern Recognition top 5%
- Digital Imaging for Blood Diseases 4
Cancer Research
- Breast Cancer Treatment Studies 4
Oncology
- Cutaneous Melanoma Detection and Management 4
- Global Cancer Incidence and Screening 3

Co-authors: P. J. van Diest Mitko Veta André Huisman Tri Q. Nguyen Alexi Baidoshvili Jeroen van der Laak Paul van Diest Peter Bult
Cited by: Health Informatics Biophysics Artificial Intelligence
Partner nations: Netherlands Germany Austria

In The Last Decade

Nikolas Stathonikos

28 papers receiving 669 citations

Peers

Countries citing papers authored by Nikolas Stathonikos

Since Specialization

Citations

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

Fields of papers citing papers by Nikolas Stathonikos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Prospective Clinical Implementation of Paige Prostate Detect Artificial Intelligence Assistance in the Detection of Prostate Cancer in Prostate Biopsies: CONFIDENT P Trial Implementation of Artificial Intelligence Assistance in Prostate Cancer Detection Rachel N Flach,Carmen van Dooijeweert,Tri Q. Nguyen,Michael Lynch,Trudy N. Jonges,Richard P. Meijer,Britt B.M. Suelmann,Peter-Paul M. Willemse,Nikolas Stathonikos,P. J. van Diest	2025	2
2	Head-to-Head Comparison of 2 Artificial Intelligence Tools for Detecting Lymph Node Metastases in Whole-Slide Pathology Images Within and Beyond Their Intended Use Rachel N Flach,Martin Samuels,Natalie D. ter Hoeve,Nikolas Stathonikos,Trudy Jonges,Jan Erik Freund,Gerben E. Breimer,Willeke A.M. Blokx,Frans Schutgens,Tri Q. Nguyen,Paul J. van Diest,Carmen van Dooijeweert	2025	0
3	Monitoring Immunohistochemical Staining Variations Using Artificial Intelligence on Standardized Controls Sven van Kempen,W.J. Gerritsen,Tri Q. Nguyen,Carmen van Dooijeweert,Nikolas Stathonikos,Roel Broekhuizen,L. Peters,P. J. van Diest	2025	1
4	Artificial intelligence-based triaging of cutaneous melanocytic lesions Ruben T. Lucassen,Nikolas Stathonikos,Gerben E. Breimer,Mitko Veta,Willeke A.M. Blokx	2025	1
5	Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial Carmen van Dooijeweert,R. N. Flach,Natalie D. ter Hoeve,Celien P.H. Vreuls,Roel Goldschmeding,Jan Erik Freund,P. Pham,Tri Q. Nguyen,Elsken van der Wall,G. W. J. Frederix,Nikolas Stathonikos,P. J. van Diest	2024	13
6	The difficulty with measuring the largest melanoma tumour diameter in sentinel lymph nodes Annelien E. Laeijendecker,Mary‐Ann El Sharouni,Nikolas Stathonikos,Clothaire P. E. Spoto,Bart A. van de Wiel,Erik Eijken,M. M. R. Mulder,Antien L. Mooyaart,Anna Szumera‐Ciećkiewicz,Daniela Mihic‐Probst,Daniela Massi,Martin Cook,Senada Koljenović,Llúcia Alós,P. J. van Diest,Alexander C J van Akkooi,Willeke A.M. Blokx	2024	1
7	Artificial Intelligence-Based Sentinel Lymph Node Metastasis Detection in Cervical Cancer Ilse Baeten,Jacob P. Hoogendam,Nikolas Stathonikos,Cornelis G. Gerestein,Geertruida N. Jonges,P. J. van Diest,Ronald P. Zweemer	2024	3
8	A comprehensive multi-domain dataset for mitotic figure detection Marc Aubreville,Frauke Wilm,Nikolas Stathonikos,Katharina Breininger,Taryn Donovan,Samir Jabari,Mitko Veta,Jonathan Ganz,Jonas Ammeling,P. J. van Diest,Robert Klopfleisch,Christof Bertram	2023	18
9	External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer Yuwei Wang,Annegien Broeks,Daniele Giardiello,Michael Hauptmann,Katarzyna Jóźwiak,Esther A. Koop,Mark Opdam,Sabine Siesling,Gabe S. Sonke,Nikolas Stathonikos,Natalie D. ter Hoeve,Elsken van der Wall,Carolien H M van Deurzen,P. J. van Diest,Adri C. Voogd,Willem Vreuls,Sabine C. Linn,Gwen Dackus,Marjanka K. Schmidt	2023	0
10	Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow Stijn A. van Bergeijk,Nikolas Stathonikos,Natalie D. ter Hoeve,Maxime W. Lafarge,Tri Q. Nguyen,P. J. van Diest,Mitko Veta	2023	15
11	The CONFIDENT-P trial: Clinical implementation of artificial intelligence assistance in prostate cancer pathology. Rachel N Flach,Nikolas Stathonikos,Tri Q. Nguyen,Natalie D. ter Hoeve,P. J. van Diest,Carmen van Dooijeweert	2023	0
12	Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images Suzanne C. Wetstein,Vincent M. T. de Jong,Nikolas Stathonikos,Mark Opdam,Gwen Dackus,Josien P. W. Pluim,P. J. van Diest,Mitko Veta	2022	55
13	MItosis DOmain Generalization Challenge Marc Aubreville,Christof Bertram,Mitko Veta,Robert Klopfleisch,Nikolas Stathonikos,Katharina Breininger,Natalie D. ter Hoeve,Francesco Ciompi,Andreas Maier	2021	8
14	Validation of digital microscopy: Review of validation methods and sources of bias Christof Bertram,Nikolas Stathonikos,Taryn Donovan,Alexander Bartel,Andrea Fuchs‐Baumgartinger,Karoline Lipnik,P. J. van Diest,Federico Bonsembiante,Robert Klopfleisch	2021	10
15	159O Prognostic value of tumour infiltrating lymphocytes in young triple negative breast cancer patients who did not receive adjuvant systemic treatment; by the PARADIGM study group Vincent M. T. de Jong,Y. Wang,Mark Opdam,ND ter Hoeve,Katarzyna Jóźwiak,Michael Hauptmann,Nikolas Stathonikos,Hugo M. Horlings,Annegien Broeks,Stefan Michiels,Elsken van der Wall,Paul van Diest,Sabine Siesling,Marjanka K. Schmidt,Shrushma Loi,M. Kok,Sabine C. Linn,Roberto Salgado,Gwen Dackus	2020	16
16	Rocky road to digital diagnostics: implementation issues and exhilarating experiences Nikolas Stathonikos,Tri Q. Nguyen,P. J. van Diest	2020	17
17	Validation of a whole‐slide image‐based teleconsultation network Alexi Baidoshvili,Nikolas Stathonikos,Gerard Freling,Joost Bart,Nils ’t Hart,Jeroen van der Laak,Jan J. Doff,Bert van der Vegt,Philip M. Kluin,P. J. van Diest	2018	16
18	Aberrant hepatic lipid storage and metabolism in canine portosystemic shunts Lindsay Van den Bossche,Vivien A. C. Schoonenberg,Iwan A. Burgener,Louis C. Penning,Ingrid M. Schrall,Hedwig S. Kruitwagen,Monique E. van Wolferen,Guy C. M. Grinwis,Anne Kummeling,Jan Jaap Rothuizen,Jeroen F. van Velzen,Nikolas Stathonikos,Martijn R. Molenaar,Bernd Helms,Jos F. Brouwers,Bart Spee,Frank G. van Steenbeek	2017	7
19	High Resolution Systematic Digital Histological Quantification of Cardiac Fibrosis and Adipose Tissue in Phospholamban p.Arg14del Mutation Associated Cardiomyopathy Johannes M.I.H. Gho,René van Es,Nikolas Stathonikos,Magdaléna Harakaľová,Wouter P. te Rijdt,Albert J.H. Suurmeijer,Jeroen F. van der Heijden,Nicolaas de Jonge,Steven A. J. Chamuleau,Roel A. de Weger,Folkert W. Asselbergs,Aryan Vink	2014	28
20	Going fully digital: Perspective of a Dutch academic pathology lab Nikolas Stathonikos,Mitko Veta,André Huisman,P. J. van Diest	2013	125

About Nikolas Stathonikos

Nikolas Stathonikos is a scholar working on Health Informatics, Artificial Intelligence and Biophysics, having authored 32 papers that have together received 687 indexed citations. Recurring topics across this work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Digital Imaging for Blood Diseases (4 papers), Breast Cancer Treatment Studies (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cutaneous Melanoma Detection and Management (4 papers), Cell Image Analysis Techniques (4 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Health Informatics (59 citations), Biophysics (108 citations) and Artificial Intelligence (508 citations). Nikolas Stathonikos has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include P. J. van Diest, Mitko Veta, André Huisman, Tri Q. Nguyen, Alexi Baidoshvili, Jeroen van der Laak, Paul van Diest, Peter Bult, Péter Bándi and Rob van de Loo.

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