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2020 – today
- 2020
[j11]Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi:
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Artif. Intell. Medicine 105: 101854 (2020)- [j10]Oya Beyan
, Ananya Choudhury, Johan van Soest, Oliver Kohlbacher, Lukas Zimmermann, Holger Stenzhorn, Md. Rezaul Karim, Michel Dumontier, Stefan Decker, Luiz Olavo Bonino da Silva Santos, Andre Dekker:
Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intell. 2(1-2): 96-107 (2020) - [j9]J. Martijn Nobel, Sander Puts, Frans C. H. Bakers, Simon G. F. Robben, André L. A. J. Dekker:
Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology. J. Digit. Imaging 33(4): 1002-1008 (2020) - [c17]Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope:
Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113172C - [c16]Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso:
Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. HECKTOR@MICCAI 2020: 65-77 - [c15]Anshu Ankolekar, Britt van der Heijden, Andre Dekker, Cheryl Roumen, Dirk De Ruysscher, Bart Reymen, Ruud Houben, Peter Fick, Sander Puts, Joeri Veugen, Adriana Berlanga, Cary Oberije, Rianne Fijten:
Implications of Clinicians' Attitudes Towards Clinical Decision Support Systems. MIE 2020: 1319-1320 - [i2]Anshu Ankolekar, Ben G. L. Vanneste, Esther Bloemen-van Gurp, Joep G. van Roermund, Adriana Berlanga, Cheryl Roumen, Evert J. van Limbergen, Ludy Lutgens, Tom Marcelissen, Philippe Lambin, Andre Dekker, Rianne Fijten:
Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. CoRR abs/2007.10797 (2020)
2010 – 2019
- 2019
- [j8]Roberto Gatta, Mauro Vallati, Nicola Dinapoli, Carlotta Masciocchi, Jacopo Lenkowicz, Davide Cusumano, Calogero Casà, Alessandra Farchione, Andrea Damiani, Johan van Soest, Andre Dekker, Vincenzo Valentini:
Towards a modular decision support system for radiomics: A case study on rectal cancer. Artif. Intell. Medicine 96: 145-153 (2019) - [j7]Maria Jacobs, Liesbeth J. Boersma, Rachelle Swart, Rob Mannens, Bart Reymen, Fred Körver, Frits van Merode, Andre Dekker:
Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits. Int. J. Medical Informatics 129: 342-348 (2019) - [j6]Anshu Ankolekar, Ben G. L. Vanneste, Esther Bloemen-van Gurp, Joep G. van Roermund, Evert J. van Limbergen, Kees van de Beek, Tom Marcelissen, Victor Zambon, Matthias Oelke, Andre Dekker, Cheryl Roumen, Philippe Lambin, Adriana Berlanga, Rianne Fijten:
Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making. BMC Medical Informatics Decis. Mak. 19(1): 130:1-130:11 (2019) - [j5]Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding:
Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Trans. Medical Imaging 38(1): 99-106 (2019) - [j4]Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt, Mark J. Gooding:
An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Trans. Medical Imaging 38(11): 2654-2664 (2019) - [c14]Chang Sun, Lianne Ippel, Johan van Soest, Birgit Wouters, Alexander Malic, Onaopepo Adekunle, Bob van den Berg, Ole Mussmann, Annemarie Koster, Carla van der Kallen, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier:
A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. MedInfo 2019: 373-377 - [c13]Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee:
A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma. RNO-AI@MICCAI 2019: 70-80 - 2018
- [c12]Martine de Vos, Berend Weel, Adriënne M. Mendrik, Andre Dekker, Johan van Soest:
Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. eScience 2018: 382-383 - [c11]Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier:
Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. MIE 2018: 581-585 - [c10]Tim Lustberg, Johan van Soest, Peter Fick, Rianne Fijten, Tim Hendriks, Sander Puts, Andre Dekker:
Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. MIE 2018: 855-859 - [i1]Chang Sun, Lianne Ippel, Birgit Wouters, Johan van Soest, Alexander Malic, Onaopepo Adekunle, Bob van den Berg, Marco Puts, Ole Mussmann, Annemarie Koster, Carla van der Kallen, David Townend, Andre Dekker, Michel Dumontier:
Analyzing Partitioned FAIR Health Data Responsibly. CoRR abs/1812.00991 (2018) - 2017
- [j3]Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites:
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. 5(1): 16 (2017) - 2016
- [c9]Qing Hu, Zhisheng Huang, Annette ten Teije, Frank van Harmelen, M. Scott Marshall, Andre Dekker:
A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines. HEALTHINF 2016: 282-289 - 2015
- [j2]Stefan Klein, Erwin Vast, Johan van Soest, Andre Dekker, Marcel Koek, Wiro J. Niessen:
XNAT imaging platform for BioMedBridges and CTMM TraIT. J. Clin. Bioinform. 5(S-1): S18 (2015) - [c8]Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist, Johan van Soest, Andre Dekker, Vincenzo Valentini:
Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. AIME 2015: 65-75 - [c7]M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker:
Information extraction of eligibility criteria for trial enrolment support. MIE 2015: 1034 - 2014
- [c6]Ahmed Ibrahim, Anca I. D. Bucur, Andre Dekker, M. Scott Marshall, David Pérez-Rey, Raúl Alonso-Calvo, Holger Stenzhorn, Sheng Yu, Cyril Krykwinski, Anouar Laarif, Keyur Mehta:
Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology. BIBE 2014: 204-211 - [c5]Zhisheng Huang, Frank van Harmelen, Annette ten Teije, Andre Dekker:
Feasibility Estimation for Clinical Trials. HEALTHINF 2014: 68-77 - [c4]Johan van Soest, Tim Lustberg, Detlef Grittner, M. Scott Marshall, Lucas Persoon, Bas Nijsten, Peter Feltens, Andre Dekker:
Towards a semantic PACS: Using Semantic Web technology to represent imaging data. MIE 2014: 166-170 - 2013
- [j1]Yuhua Gu, Virendra Kumar, Lawrence O. Hall, Dmitry B. Goldgof, Ching-Yen Li, René Korn, Claus Bendtsen, Emmanuel Rios Velazquez, Andre Dekker, Hugo J. W. L. Aerts, Philippe Lambin, Xiuli Li, Jie Tian, Robert A. Gatenby, Robert J. Gillies:
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 46(3): 692-702 (2013) - 2011
- [c3]Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov:
The Combination of Clinical, Dose-Related and Imaging Features Helps Predict Radiation-Induced Normal-Tissue Toxicity in Lung-cancer Patients - An in-silico Trial Using Machine Learning Techniques. ICMLA (2) 2011: 220-224
2000 – 2009
- 2009
- [c2]Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens:
Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. ICMLA 2009: 494-497 - 2008
- [c1]Guillaume Janssens, Jonathan Orban de Xivry, Hugo J. W. L. Aerts, Geert Bosmans, Andre L. A. J. Dekker, Benoît Macq:
Improving physical behavior in image registration. ICIP 2008: 2952-2955
Coauthor Index
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