Cary Oberije
About
Cary Oberije is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation.
According to data from OpenAlex, Cary Oberije has authored 75 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Pulmonary and Respiratory Medicine, 46 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Radiation. Recurrent topics in Cary Oberije's work include Lung Cancer Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Advanced Radiotherapy Techniques (13 papers). Cary Oberije is often cited by papers focused on Lung Cancer Diagnosis and Treatment (38 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Advanced Radiotherapy Techniques (13 papers). Cary Oberije collaborates with scholars based in Netherlands, Belgium and United States. Cary Oberije's co-authors include Philippe Lambin, Dirk De Ruysscher, André Dekker, Angela van Baardwijk, Monique Hochstenbag, Anne‐Marie C. Dingemans, Bart Reymen, Liesbeth Boersma, Shipeng Yu and Janita E. van Timmeren and has published in prestigious journals such as Nature Medicine, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.
In The Last Decade
Cary Oberije
72 papers receiving 3.1k citations
Hit Papers
Peers
Cary Oberije
Ulrike Schick France
M.M. Matuszak United States
Erik Roelofs Netherlands
Luca Boldrini Italy
Bart Reymen Netherlands
Tim Lustberg Netherlands
Esther G.C. Troost Germany
Johan van Soest Netherlands
Stefano Tomatis Italy
Angela van Baardwijk Netherlands
Citations per year, relative to Cary Oberije Cary Oberije (= 1×)
peers
Ulrike Schick
Countries citing papers authored by Cary Oberije
Since
Specialization
Citations
This map shows the geographic impact of Cary Oberije'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 Cary Oberije with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cary Oberije more than expected).
Fields of papers citing papers by Cary Oberije
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Cary Oberije. 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 Cary Oberije. The network helps show where Cary Oberije may publish in the future.
Co-authorship network of co-authors of Cary Oberije
This figure shows the co-authorship network connecting the top 25 collaborators of Cary Oberije. A scholar is included among the top collaborators of Cary Oberije 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 Cary Oberije. Cary Oberije is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Halilaj, Iva, R. Lieverse, Cary Oberije, et al.. (2025). Improving Patient Engagement in Phase 2 Clinical Trials With a Trial-Specific Patient Decision Aid: Development and Usability Study. Journal of Medical Internet Research. 27. e71817–e71817.
2.
Oberije, Cary, et al.. (2023). Comparing Prognostic Factors of Cancers Identified by Artificial Intelligence (AI) and Human Readers in Breast Cancer Screening. Cancers. 15(12). 3069–3069.
3.
Ng, Annie, Ben Glocker, Cary Oberije, et al.. (2023). Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload. Journal of Breast Imaging. 5(3). 267–276.
4.
Ng, A.Y., Cary Oberije, Éva Ambrózay, et al.. (2023). Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer. Nature Medicine. 29(12). 3044–3049.
5.
Halilaj, Iva, Cary Oberije, Avishek Chatterjee, et al.. (2022). Open Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology. Biomedicines. 10(11). 2679–2679.
6.
Chatterjee, Avishek, Cosimo Nardi, Cary Oberije, & Philippe Lambin. (2021). Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape. Journal of Personalized Medicine. 11(4). 300–300.
7.
Wijk, Yvonka van, Bram Ramaekers, Ben Vanneste, et al.. (2021). Modeling-Based Decision Support System for Radical Prostatectomy Versus External Beam Radiotherapy for Prostate Cancer Incorporating an In Silico Clinical Trial and a Cost–Utility Study. Cancers. 13(11). 2687–2687.
8.
Carvalho, Sara, Ralph T. H. Leijenaar, Esther G.C. Troost, et al.. (2018). 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) – A prospective externally validated study. PLoS ONE. 13(3). e0192859–e0192859.
9.
Deist, Timo M., Pei Yang, Cary Oberije, et al.. (2017). Dosimetric Analysis of Randomized Proton and Photon Plans with Respect to Radiation Toxicity: The Importance of High Dose Regions in Lung and Esophagus. International Journal of Radiation Oncology*Biology*Physics. 98(1). 246–246.
10.
Deist, Timo M., Arthur Jochems, Johan van Soest, et al.. (2017). Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT. Clinical and Translational Radiation Oncology. 4. 24–31.
11.
Oberije, Cary, Dirk De Ruysscher, Ruud Houben, et al.. (2015). A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients. International Journal of Radiation Oncology*Biology*Physics. 92(4). 935–944.
12.
Rodrigues, George, Suresh Senan, Cary Oberije, et al.. (2014). Is Intermediate Radiation Dose Escalation With Concurrent Chemotherapy for Stage III Non-Small Cell Lung Cancer Beneficial?: A Multi-institutional Propensity-Score Matched Analysis. International Journal of Radiation Oncology*Biology*Physics. 90(1). S654–S654.
13.
Dekker, André, Shalini Vinod, Lois Holloway, et al.. (2014). Rapid learning in practice: A lung cancer survival decision support system in routine patient care data. Radiotherapy and Oncology. 113(1). 47–53.
14.
Oberije, Cary, Georgi Nalbantov, André Dekker, et al.. (2014). A prospective study comparing the predictions of doctors versus models for treatment outcome of lung cancer patients: A step toward individualized care and shared decision making. Radiotherapy and Oncology. 112(1). 37–43.
15.
Lambin, Philippe, Erik Roelofs, Bart Reymen, et al.. (2013). ‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’. Radiotherapy and Oncology. 109(1). 159–164.
16.
Ruyck, Kim De, Cary Oberije, Katrien Vandecasteele, et al.. (2011). Development of a Multicomponent Prediction Model for Acute Esophagitis in Lung Cancer Patients Receiving Chemoradiotherapy. International Journal of Radiation Oncology*Biology*Physics. 81(2). 537–544.
17.
Loon, Judith van, Dirk De Ruysscher, Rinus Wanders, et al.. (2009). Selective Nodal Irradiation on Basis of 18FDG-PET Scans in Limited-Disease Small-Cell Lung Cancer: A Prospective Study. International Journal of Radiation Oncology*Biology*Physics. 77(2). 329–336.
18.
Oberije, Cary, Shipeng Yu, Dirk De Ruysscher, et al.. (2008). Development and External Validation of Prognostic Model for 2-Year Survival of Non–Small-Cell Lung Cancer Patients Treated With Chemoradiotherapy. International Journal of Radiation Oncology*Biology*Physics. 74(2). 355–362.
19.
Oberije, Cary, G.S.K. Fung, Dirk De Ruysscher, et al.. (2007). The Limitations of Dosimetric Parameters for the Prediction of Radiation-Induced Lung Toxicity: An Approach Based on Machine Learning Techniques. International Journal of Radiation Oncology*Biology*Physics. 69(3). S488–S489.
20.
Baardwijk, Angela van, Christophe Dooms, Robert Jan van Suylen, et al.. (2007). The maximum uptake of 18F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1α and GLUT-1 in non-small cell lung cancer. European Journal of Cancer. 43(9). 1392–1398.
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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