Andre Dekker - RankMe

74 papers B 1C 2Journal 48Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comprehensive experimental comparison between federated and centralized learning. Database J. Biol. Databases Curation Swier Garst, Andre Dekker, Marcel J. T. Reinders
2025	J	`jnl`	A critique of current approaches to privacy in machine learning. Ethics Inf. Technol. Florian Van Daalen, Marine Jacquemin, Johan van Soest, Nina Stahl, David Townend, Andre Dekker, Iñigo Bermejo
2025	J	`jnl`	An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype. Frontiers Digit. Health Rutger van Mierlo, Wenjie Liang, Kerli Norak, Michaela Kargl, Mall Maasik, Anne-Lore Bynens, Markus Plass, Markus Kreuzthaler, Martin Benedikt, Laura Hochstenbach, Arnoud van 't Hof, Remzi Celebi, Andre Dekker, Isabelle de Zegher, Petros Kalendralis
2025	J	`jnl`	Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. Biomed. Signal Process. Control. Weixing Li, Xipeng Pan, Zhen Zhang, Guangyao Wu, Guanchao Ye, Leonard Wee, Andre Dekker, Chu Han, Lei Shi, Zaiyi Liu, Zhenbing Liu, Zhenwei Shi
2025	J	`jnl`	Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Syst. Appl. Zhenbing Liu, Weixing Li, Yanfen Cui, Xin Chen, Xipeng Pan, Guanchao Ye, Guangyao Wu, Yongde Liao, Leroy Volmer, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi
2025	J	`jnl`	Multi-Cohort Federated Learning Shows Synergy in Mortality Prediction for MRI-Based and Metabolomics-Based Age Scores. J. Heal. Informatics Res. Pedro Mateus, Swier Garst, Jing Yu, Davy Cats, Alexander G. J. Harms, Mahlet A. Birhanu, Marian Beekman, P. Eline Slagboom, Marcel J. T. Reinders, Jeroen van der Grond, Andre Dekker, Jacobus F. A. Jansen, Magdalena Beran, Miranda T. Schram, Pieter Jelle Visser, Justine E. F. Moonen, Mohsen Ghanbari, Gennady Roshchupkin, Dina Vojinovic, Iñigo Bermejo, Hailiang Mei, Esther E. Bron
2025	J	`jnl`	PET/CT-based deep learning model predicts distant metastasis after SBRT for early-stage NSCLC: A multicenter study. Comput. Medical Imaging Graph. Lu Yu, Shenlun Chen, Junyi Li, Heqing Yi, Jin Wang, Jianjiao Ni, Xiaoli Zheng, Hong Ge, Zhengfei Zhu, Ligang Xing, Petros Kalendralis, Leonard Wee, Andre Dekker, Zhen Zhang, Zhaoxiang Ye, Zhiyong Yuan
2025	—	`conf`	Predicting Clinical Remission in Crohn's Disease: A Comparative Study of Expert-Generated and Computer-Generated Bayesian Networks. SWAT4HCLS Yomi Okegunna, Maija Utriaine, Manon . J. J. Cloots, Jiaxu Zhang, Iñigo Bermejo, Loriane . M. M. Verleye, Marjolijn Duijvestein, Zlatan Mujagic, Andre Dekker, Marieke . J. Pierik, Rianne Fijten
2025	J	`jnl`	Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees. Complex Intell. Syst. Florian Van Daalen, Djura Smits, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2024	J	`jnl`	A Response to: A Note on "Privacy Preserving n-Party Scalar Product Protocol". CoRR Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2024	J	`jnl`	Colorectal cancer health and care quality indicators in a federated setting using the Personal Health Train. BMC Medical Informatics Decis. Mak. Ananya Choudhury, Esther R. C. Janssen, Bart C. Bongers, Nico L. U. van Meeteren, Andre Dekker, Johan van Soest
2024	J	`jnl`	Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. J. Biomed. Informatics Pedro Mateus, Justine E. F. Moonen, Magdalena Beran, Eva Jaarsma, Sophie M. van der Landen, Joost Heuvelink, Mahlet A. Birhanu, Alexander G. J. Harms, Esther Bron, Frank J. Wolters, Davy Cats, Hailiang Mei, Julie Oomens, Willemijn Jansen, Miranda T. Schram, Andre Dekker, Iñigo Bermejo
2024	J	`jnl`	Federated Bayesian Network Ensembles. CoRR Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2024	J	`jnl`	MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. CoRR Pedro Mateus, Swier Garst, Jing Yu, Davy Cats, Alexander G. J. Harms, Mahlet A. Birhanu, Marian Beekman, P. Eline Slagboom, Marcel J. T. Reinders, Jeroen van der Grond, Andre Dekker, Jacobus F. A. Jansen, Magdalena Beran, Miranda T. Schram, Pieter Jelle Visser, Justine E. F. Moonen, Mohsen Ghanbari, Gennady Roshchupkin, Dina Vojinovic, Iñigo Bermejo, Hailiang Mei, Esther E. Bron
2024	J	`jnl`	Operationalizing and digitizing person-centered daily functioning: a case for functionomics. BMC Medical Informatics Decis. Mak. Esther R. C. Janssen, Ilona M. Punt, Johan van Soest, Yvonne F. Heerkens, Hillegonda A. Stallinga, Huib ten Napel, Lodewijk W. van Rhijn, Barend Mons, Andre Dekker, Paul C. Willems, Nico L. U. van Meeteren
2024	J	`jnl`	SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi, Changhong Liang
2024	J	`jnl`	VertiBayes: learning Bayesian network parameters from vertically partitioned data with missing values. Complex Intell. Syst. Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2023	J	`jnl`	Are all shortcuts in encoder-decoder networks beneficial for CT denoising? Comput. methods Biomech. Biomed. Eng. Imaging Vis. Junhua Chen, Chong Zhang, Leonard Wee, Andre Dekker, Iñigo Bermejo
2023	J	`jnl`	Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma. J. Digit. Imaging Sneha Mithun, Ashish Kumar Jha, Umeshkumar B. Sherkhane, Vinay Jaiswar, Nilendu Purandare, Andre Dekker, Sander Puts, Iñigo Bermejo, Venkatesh Rangarajan, Catharina M. L. Zegers, Leonard Wee
2023	J	`jnl`	External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer. J. Digit. Imaging Ashish Kumar Jha, Umeshkumar B. Sherkhane, Sneha Mithun, Vinay Jaiswar, Nilendu Purandare, Kumar Prabhash, Leonard Wee, Venkatesh Rangarajan, Andre Dekker
2023	—	`conf`	Federated Bayesian Network Ensembles. FMEC Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2023	J	`jnl`	Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation. Sensors Suraj Pai, Ibrahim Hadzic, Chinmay Rao, Ivan Zhovannik, Andre Dekker, Alberto Traverso, Stylianos Asteriadis, Enrique Hortal
2023	J	`jnl`	GAN-based one dimensional medical data augmentation. Soft Comput. Ye Zhang, Zhixiang Wang, Zhen Zhang, Junzhuo Liu, Ying Feng, Leonard Wee, Andre Dekker, Qiaosong Chen, Alberto Traverso
2023	J	`jnl`	Privacy Preserving $n$n-Party Scalar Product Protocol. IEEE Trans. Parallel Distributed Syst. Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2023	—	`conf`	Privacy-Preserving Dashboard for F.A.I.R Head and Neck Cancer data supporting multi-centered collaborations. SWAT4HCLS Varsha Gouthamchand, Ananya Choudhury, Frank Hoebers, Frederik Wesseling, Mattea Welch, Sejin Kim, Benjamin Haibe-Kains, Joanna Kazmierska, Andre Dekker, Johan van Soest, Leonard Wee
2023	J	`jnl`	Systematic review and meta-analysis of prediction models used in cervical cancer. Artif. Intell. Medicine Ashish Kumar Jha, Sneha Mithun, Umeshkumar B. Sherkhane, Vinay Jaiswar, Biche Osong, Nilendu Purandare, Sadhana Kannan, Kumar Prabhash, Sudeep Gupta, Ben G. L. Vanneste, Venkatesh Rangarajan, Andre Dekker, Leonard Wee
2022	J	`jnl`	AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline. CoRR Peter M. A. van Ooijen, Erfan Darzidehkalani, Andre Dekker
2022	—	`conf`	Building a Radiation Therapy Ontology. ICBO Mark Phillips, Andre Dekker, Charles Mayo, Peter Gabriel, Jonathan P. Bona
2022	J	`jnl`	CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism. IEEE Access Junzhuo Liu, Zhixiang Wang, Ye Zhang, Alberto Traverso, Andre Dekker, Zhen Zhang, Qiaosong Chen
2022	J	`jnl`	Health literacy in e-oncology care: challenges and strategies. CoRR Hajar Hasannejadasl, Cheryl Roumen, Yolba Smit, Andre Dekker, Rianne Fijten
2022	J	`jnl`	Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark. CoRR Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis, Keyvan Farahani, Justin S. Kirby, Anastasia Oikonomou, Amir Asif, Leonard Wee, Andre Dekker, Xin Wu, Mohammad Ariful Haque, Shahruk Hossain, Md. Kamrul Hasan, Uday Kamal, Winston H. Hsu, Jhih-Yuan Lin, M. Sohel Rahman, Nabil Ibtehaz, Sh. M. Amir Foisol, Kin-Man Lam, Zhong Guang, Runze Zhang, Sumohana S. Channappayya, Shashank Gupta, Chander Dev
2022	J	`jnl`	VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values. CoRR Florian Van Daalen, Lianne Ippel, Andre Dekker, Iñigo Bermejo
2021	J	`jnl`	A Knowledge graph representation of baseline characteristics for the Dutch proton therapy research registry. CoRR Matthijs Sloep, Petros Kalendralis, Ananya Choudhury, Lerau Seyben, Jasper Snel, Nibin Moni George, Martijn Veening, Johannes A. Langendijk, Andre Dekker, Johan van Soest, Rianne Fijten
2021	J	`jnl`	A systematic review on privacy-preserving distributed data mining. Data Sci. Chang Sun, Lianne Ippel, Andre Dekker, Michel Dumontier, Johan van Soest
2021	J	`jnl`	Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients. Sensors Leanne L. G. C. Ackermans, Leroy Volmer, Leonard Wee, Ralph Brecheisen, Patricia Sánchez-González, Alexander P. Seiffert, Enrique J. Gómez, Andre Dekker, Jan A. Ten Bosch, Steven M. W. Olde Damink, Taco J. Blokhuis
2021	J	`jnl`	Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study. CoRR Junhua Chen, Iñigo Bermejo, Andre Dekker, Leonard Wee
2021	J	`jnl`	Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study. CoRR Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Iñigo Bermejo
2021	J	`jnl`	Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics. CoRR Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Iñigo Bermejo
2021	J	`jnl`	Predicting erectile dysfunction after treatment for localized prostate cancer. CoRR Hajar Hasannejadasl, Cheryl Roumen, Henk van der Poel, Ben G. L. Vanneste, Joep G. van Roermund, Katja Aben, Petros Kalendralis, Biche Osong, Lambertus Kiemeney, Inge M. van Oort, Renée Verwey, Laura Hochstenbach, Esther Bloemen-van Gurp, Andre Dekker, Rianne Fijten
2021	J	`jnl`	Privacy preserving n-party scalar product protocol. CoRR Florian Van Daalen, Iñigo Bermejo, Lianne Ippel, Andre Dekker
2020	—	`conf`	Auto Segmentation of Lung in Non-small Cell Lung Cancer Using Deep Convolution Neural Network. ICACDS Ravindra Patil, Leonard Wee, Andre Dekker
2020	J	`jnl`	Distributed Analytics on Sensitive Medical Data: The Personal Health Train. Data Intell. 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
2020	—	`conf`	Implications of Clinicians' Attitudes Towards Clinical Decision Support Systems. MIE 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
2020	J	`jnl`	Nine Recommendations for Decision Aid Implementation from the Clinician Perspective. CoRR 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
2020	—	`conf`	Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Biomedical Applications in Molecular, Structural, and Functional Imaging Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas B. Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope
2020	—	`conf`	Oropharyngeal Tumour Segmentation Using Ensemble 3D PET-CT Fusion Networks for the HECKTOR Challenge. HECKTOR@MICCAI Chinmay Rao, Suraj Pai, Ibrahim Hadzic, Ivan Zhovannik, Dennis Bontempi, Andre Dekker, Jonas Teuwen, Alberto Traverso
2020	—	`conf`	Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare. MIND (1) Ananya Choudhury, Johan van Soest, Stuti Nayak, Andre Dekker
2020	J	`jnl`	Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics. Artif. Intell. Medicine Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi
2019	—	`conf`	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 Zhenwei Shi, Chong Zhang, Inge Compter, Maikel Verduin, Ann Hoeben, Danielle Eekers, Andre Dekker, Leonard Wee
2019	—	`conf`	A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. MedInfo 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
2019	J	`jnl`	An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning. IEEE Trans. Medical Imaging Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
2019	—	`conf`	Annotation of Existing Databases using Semantic Web Technologies: Making Data more FAIR. SWAT4HCLS Johan van Soest, Ananya Choudhury, Nikhil Gaikwad, Matthijs Sloep, Michel Dumontier, Andre Dekker
2019	J	`jnl`	Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. IEEE Trans. Medical Imaging Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding
2019	J	`jnl`	Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making. BMC Medical Informatics Decis. Mak. 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
2019	J	`jnl`	Electronic Health Record implementation in a large academic radiotherapy department: Temporarily disruptions but long-term benefits. Int. J. Medical Informatics Maria Jacobs, Liesbeth J. Boersma, Rachelle Swart, Rob Mannens, Bart Reymen, Fred Körver, Frits van Merode, Andre Dekker
2019	—	`conf`	FAIR Quantitative Imaging in Oncology: how Semantic Web and Ontologies will support Reproducible Science. SWAT4HCLS Alberto Traverso, Zhenwei Shi, Leonard Wee, Andre Dekker
2019	—	`conf`	Publishing Linked and FAIR-compliant Radiomics Data in Radiation Oncology via Ontologies and Semantic Web Techniques. SWAT4HCLS Alberto Traverso, Martin Vallières, Johan van Soest, Leonard Wee, Olivier Morin, Andre Dekker
2019	J	`jnl`	Towards a modular decision support system for radiomics: A case study on rectal cancer. Artif. Intell. Medicine 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
2019	—	`conf`	Transformation and Integration of Heterogeneous Health Data in a Privacy-preserving Distributed Learning Infrastructure. SWAT4HCLS Chang Sun, Vincent Emonet, Johan van Soest, Annemarie Koster, Andre Dekker, Michel Dumontier
2018	J	`jnl`	Analyzing Partitioned FAIR Health Data Responsibly. CoRR 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
2018	—	`conf`	Fast and Easy Mapping of Relational Data to RDF for Rapid Learning Health Care. eScience Martine de Vos, Berend Weel, Adriënne M. Mendrik, Andre Dekker, Johan van Soest
2018	—	`conf`	Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. MIE Tim Lustberg, Johan van Soest, Peter Fick, Rianne Fijten, Tim Hendriks, Sander Puts, Andre Dekker
2018	—	`conf`	Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. MIE Johan van Soest, Chang Sun, Ole Mussmann, Marco Puts, Bob van den Berg, Alexander Malic, Claudia van Oppen, David Townend, Andre Dekker, Michel Dumontier
2017	J	`jnl`	The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David I. Thwaites
2016	—	`conf`	A Topic-centric Approach to Detecting New Evidences for Evidence-based Medical Guidelines. HEALTHINF Qing Hu, Zhisheng Huang, Annette ten Teije, Frank van Harmelen, M. Scott Marshall, Andre Dekker
2015	B	`conf`	Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. AIME Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist, Johan van Soest, Andre Dekker, Vincenzo Valentini
2015	—	`conf`	Information extraction of eligibility criteria for trial enrolment support. MIE M. Scott Marshall, Johan van Soest, R. Dresens, J. Paulissen, Philippe Lambin, Andre Dekker
2015	J	`jnl`	XNAT imaging platform for BioMedBridges and CTMM TraIT. J. Clin. Bioinform. Stefan Klein, Erwin Vast, Johan van Soest, Andre Dekker, Marcel Koek, Wiro J. Niessen
2014	C	`conf`	Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology. BIBE 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
2014	—	`conf`	Feasibility Estimation for Clinical Trials. HEALTHINF Zhisheng Huang, Frank van Harmelen, Annette ten Teije, Andre Dekker
2014	—	`conf`	Towards a semantic PACS: Using Semantic Web technology to represent imaging data. MIE Johan van Soest, Tim Lustberg, Detlef Grittner, M. Scott Marshall, Lucas Persoon, Bas Nijsten, Peter Feltens, Andre Dekker
2013	J	`jnl`	Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach. Pattern Recognit. 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
2011	—	`conf`	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) Georgi I. Nalbantov, Andre Dekker, Dirk De Ruysscher, Philippe Lambin, Evgueni N. Smirnov
2009	C	`conf`	Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data. ICMLA Andre Dekker, Cary Dehing-Oberije, Dirk De Ruysscher, Philippe Lambin, Kartik Komati, Glenn Fung, Shipeng Yu, Andrew Hope, Wilfried De Neve, Yolande Lievens