Jakoba J. Eertink

1.2k total citations
21 papers, 619 citations indexed

About

Jakoba J. Eertink is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jakoba J. Eertink has authored 21 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pathology and Forensic Medicine and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jakoba J. Eertink's work include Lymphoma Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Imaging Techniques and Applications (9 papers). Jakoba J. Eertink is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Imaging Techniques and Applications (9 papers). Jakoba J. Eertink collaborates with scholars based in Netherlands, Germany and United Kingdom. Jakoba J. Eertink's co-authors include Josée M. Zijlstra, Ronald Boellaard, Henrica C. W. de Vet, Gerben J.C. Zwezerijnen, Otto S. Hoekstra, Sanne E. Wiegers, Pieternella J. Lugtenburg, Michel Meignan, Martijn W. Heymans and Fanny Orlhac and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jakoba J. Eertink

21 papers receiving 618 citations

Peers

Countries citing papers authored by Jakoba J. Eertink

Since Specialization

Citations

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

Fields of papers citing papers by Jakoba J. Eertink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakoba J. Eertink. 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 Jakoba J. Eertink. The network helps show where Jakoba J. Eertink may publish in the future.

Co-authorship network of co-authors of Jakoba J. Eertink

This figure shows the co-authorship network connecting the top 25 collaborators of Jakoba J. Eertink. A scholar is included among the top collaborators of Jakoba J. Eertink based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jakoba J. Eertink. Jakoba J. Eertink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The development process of ‘fit-for-purpose’ imaging biomarkers to characterize the tumor microenvironment 2024 ·Frontiers in Medicine ·Jakoba J. Eertink, Idris Bahce, John C. Waterton, Marc C. Huisman, Ronald Boellaard, Andreas Wunder, Andrea Thiele, C. Willemien Menke‐van der Houven van Oordt	3
2	Validation of an Artificial Intelligence–Based Prediction Model Using 5 External PET/CT Datasets of Diffuse Large B-Cell Lymphoma 2024 ·Journal of Nuclear Medicine ·(unknown), Sandeep S.V. Golla, Jakoba J. Eertink, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Martijn W. Heymans, Pieternella J. Lugtenburg, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Sally F. Barrington, N. George Mikhaeel, Luca Ceriani, Emanuele Zucca, (unknown), Tamás Györke, Martine E.D. Chamuleau, Josée M. Zijlstra, Ronald Boellaard	4
3	Prognostic model using 18F-FDG PET radiomics predicts progression-free survival in relapsed/refractory Hodgkin lymphoma 2023 ·Blood Advances ·(unknown), Gerben J.C. Zwezerijnen, Heiko Schöder, Marie José Kersten, Alison J. Moskowitz, Craig H. Moskowitz, Jakoba J. Eertink, Martijn W. Heymans, Ronald Boellaard, Josée M. Zijlstra	10
4	Sensitivity of an AI method for [18F]FDG PET/CT outcome prediction of diffuse large B-cell lymphoma patients to image reconstruction protocols 2023 ·EJNMMI Research ·(unknown), Sandeep S.V. Golla, Jakoba J. Eertink, (unknown), Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Simone Pieplenbosch, (unknown), Martijn W. Heymans, Josée M. Zijlstra, Ronald Boellaard	1
5	Combatting the effect of image reconstruction settings on lymphoma [18F]FDG PET metabolic tumor volume assessment using various segmentation methods 2022 ·EJNMMI Research ·(unknown), Jakoba J. Eertink, Sandeep S.V. Golla, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Simone Pieplenbosch, Josée M. Zijlstra, Ronald Boellaard	14
6	External validation: a simulation study to compare cross-validation versus holdout or external testing to assess the performance of clinical prediction models using PET data from DLBCL patients 2022 ·EJNMMI Research ·Jakoba J. Eertink, Martijn W. Heymans, Gerben J.C. Zwezerijnen, Josée M. Zijlstra, Henrica C. W. de Vet, Ronald Boellaard	36
7	Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Gerben J.C. Zwezerijnen, Matthijs C. F. Cysouw, Sanne E. Wiegers, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Otto S. Hoekstra, Henrica C. W. de Vet, Josée M. Zijlstra, Ronald Boellaard	32
8	The Impact of Semiautomatic Segmentation Methods on Metabolic Tumor Volume, Intensity, and Dissemination Radiomics in ¹⁸F-FDG PET Scans of Patients with Classical Hodgkin Lymphoma 2022 ·Journal of Nuclear Medicine ·(unknown), Gerben J.C. Zwezerijnen, Heiko Schöder, Esther E.E. Drees, Marie José Kersten, Alison J. Moskowitz, Craig H. Moskowitz, Jakoba J. Eertink, Henrica C. W. de Vet, Otto S. Hoekstra, Josée M. Zijlstra, Ronald Boellaard	36
9	Blood‐circulating EV‐miRNAs, serum TARC, and quantitative FDG‐PET features in classical Hodgkin lymphoma 2022 ·SHILAP Revista de lepidopterología ·Esther E.E. Drees, (unknown), Gerben J.C. Zwezerijnen, Sandra A.W.M. Verkuijlen, Jakoba J. Eertink, Monique A.J. van Eijndhoven, (unknown), Andrea Vallés‐Martí, Daphne de Jong, Ronald Boellaard, Henrica C. W. de Vet, D. Michiel Pegtel, Josée M. Zijlstra	10
10	Proposed New Dynamic Prognostic Index for Diffuse Large B-Cell Lymphoma: International Metabolic Prognostic Index 2022 ·Journal of Clinical Oncology ·N. George Mikhaeel, Martijn W. Heymans, Jakoba J. Eertink, Henrica C. W. de Vet, Ronald Boellaard, Ulrich Dührsen, Luca Ceriani, Christine Hanoun, Sanne E. Wiegers, Andreas Hüttmann, Pieternella J. Lugtenburg, Emanuele Zucca, Gerben J.C. Zwezerijnen, Otto S. Hoekstra, Josée M. Zijlstra, Sally F. Barrington	78
11	Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at Interim ¹⁸F-FDG PET in Diffuse Large B-Cell Lymphoma 2021 ·Journal of Nuclear Medicine ·Gerben J.C. Zwezerijnen, Jakoba J. Eertink, Coreline N. Burggraaff, Sanne E. Wiegers, (unknown), Simone Pieplenbosch, Daniela E. Oprea‐Lager, Pieternella J. Lugtenburg, Otto S. Hoekstra, Henrica C. W. de Vet, Josée M. Zijlstra, Ronald Boellaard	9
12	¹⁸F-FDG PET Improves Baseline Clinical Predictors of Response in Diffuse Large B-Cell Lymphoma: The HOVON-84 Study 2021 ·Journal of Nuclear Medicine ·Coreline N. Burggraaff, Jakoba J. Eertink, Pieternella J. Lugtenburg, Otto S. Hoekstra, Anne I.J. Arens, Bart de Keizer, Martijn W. Heymans, Bronno van der Holt, Sanne E. Wiegers, Simone Pieplenbosch, Ronald Boellaard, Henrica C. W. de Vet, Josée M. Zijlstra, (unknown)	17
13	Aberrant patterns of PET response during treatment for DLBCL patients with MYC gene rearrangements 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Anne I.J. Arens, (unknown), (unknown), Bart de Keizer, Sigrid Stroobants, Daphne de Jong, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Coreline N. Burggraaff, Ronald Boellaard, Henrica C. W. de Vet, Otto S. Hoekstra, Pieternella J. Lugtenburg, Martine E.D. Chamuleau, Josée M. Zijlstra, (unknown)	5
14	18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma 2021 ·European Journal of Nuclear Medicine and Molecular Imaging ·Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Henrica C. W. de Vet, Otto S. Hoekstra, Ronald Boellaard, Josée M. Zijlstra	90
15	A Guide to ComBat Harmonization of Imaging Biomarkers in Multicenter Studies 2021 ·Journal of Nuclear Medicine ·Fanny Orlhac, Jakoba J. Eertink, Anne‐Ségolène Cottereau, Josée M. Zijlstra, Catherine Thiéblemont, Michel Meignan, Ronald Boellaard, Irène Buvat	160
16	Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter? 2021 ·Journal of Nuclear Medicine ·Jakoba J. Eertink, Elisabeth Pfaehler, Sanne E. Wiegers, (unknown), (unknown), Pieternella J. Lugtenburg, Otto S. Hoekstra, Josée M. Zijlstra, Henrica C. W. de Vet, Ronald Boellaard	24
17	PREDICTIVE VALUE OF QUANTITATIVE ¹⁸F‐FDG‐PET‐CT RADIOMICS ANALYSIS IN 174 PATIENTS WITH RELAPSED/REFRACTORY CLASSICAL HODGKIN LYMPHOMA 2021 ·Hematological Oncology ·(unknown), Gerben J.C. Zwezerijnen, Heiko Schöder, Alison J. Moskowitz, Marie José Kersten, Craig H. Moskowitz, Jakoba J. Eertink, Tim van de Brug, Henrica C. W. de Vet, Otto S. Hoekstra, Josée M. Zijlstra, Ronald Boellaard	1
18	Profound regional spectral, connectivity, and network changes reflect visual deficits in posterior cortical atrophy: an EEG study 2020 ·Neurobiology of Aging ·Casper T. Briels, Jakoba J. Eertink, Cornelis J. Stam, Wiesje M. van der Flier, Philip Scheltens, Alida A. Gouw	4
19	Automated Segmentation of Baseline Metabolic Total Tumor Burden in Diffuse Large B-Cell Lymphoma: Which Method Is Most Successful? A Study on Behalf of the PETRA Consortium 2020 ·Journal of Nuclear Medicine ·Sally F. Barrington, Gerben J.C. Zwezerijnen, Henrica C. W. de Vet, Martijn W. Heymans, N. George Mikhaeel, Coreline N. Burggraaff, Jakoba J. Eertink, Lucy Pike, Otto S. Hoekstra, Josée M. Zijlstra, Ronald Boellaard	69
20	18f-FDG PET/CT Baseline Rdiomics Features Improve the Prediction of Treatment Outcome in Diffuse Large B-Cell Lymphoma Patients 2020 ·Blood ·Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Elisabeth Pfaehler, Pieternella J. Lugtenburg, Bronno van der Holt, Henrica C. W. de Vet, Otto S. Hoekstra, Ronald Boellaard, Josée M. Zijlstra	3

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