2017 · Cancer Research
Computational Radiomics System to Decode the Radiographic Phenotype
6,817 citationsRead
Most cited
586 papers in total2012 · European Journal of Cancer
Radiomics: Extracting more information from medical images using advanced feature analysis
6,234 citationsRead
2014 · Nature Communications
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
5,293 citationsRead
2020 · Radiology
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
4,204 citationsRead
2018 · Nature reviews. Cancer
Artificial intelligence in radiology
3,819 citationsRead
2012 · Magnetic Resonance Imaging
Radiomics: the process and the challenges
2,306 citationsRead
Newest first
586 papers in total2026
- Thymic health and immunotherapy outcomes in patients with cancerNature · 24 citations
- Thymic health consequences in adultsNature · 21 citations
- A generalizable foundation model for analysis of human brain MRINature Neuroscience · 20 citations
2025
- Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinomaNature Medicine · 108 citations
- Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital PatientsJAMA Network Open · 102 citations
- When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behaviornpj Digital Medicine · 94 citations
- FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation studyThe Lancet Digital Health · 37 citations
- Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinomaNature Cancer · 17 citations
2024
- Large language models to identify social determinants of health in electronic health recordsnpj Digital Medicine · 289 citations
- Foundation model for cancer imaging biomarkersNature Machine Intelligence · 199 citations
- The effect of using a large language model to respond to patient messagesThe Lancet Digital Health · 154 citations
- Skeletal muscle adiposity, coronary microvascular dysfunction, and adverse cardiovascular outcomesEuropean Heart Journal · 61 citations
- Mixed responses to targeted therapy driven by chromosomal instability through p53 dysfunction and genome doublingNature Communications · 50 citations
- The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinomaNature Cancer · 49 citations
- Deep Learning to Estimate Cardiovascular Risk From Chest RadiographsAnnals of Internal Medicine · 48 citations
- Body Composition in Advanced Non-Small Cell Lung Cancer Treated With ImmunotherapyJAMA Oncology · 44 citations
- Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practiceThe Lancet Oncology · 34 citations
- Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomasNeuro-Oncology · 32 citations
- Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer LearningRadiology Artificial Intelligence · 31 citations
- Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft modelsNature Communications · 29 citations
- Robustness and reproducibility for AI learning in biomedical sciences: RENOIRScientific Reports · 27 citations
- Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data ScenarioRadiology Artificial Intelligence · 26 citations
- Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancementsThe Lancet Oncology · 25 citations
- Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks19 citations
- Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokersCommunications Medicine · 18 citations
- Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias18 citations
2023
- Lung adenocarcinoma promotion by air pollutantsNature · 813 citations
- Tracking early lung cancer metastatic dissemination in TRACERx using ctDNANature · 390 citations
- The evolution of lung cancer and impact of subclonal selection in TRACERxNature · 340 citations
- The evolution of non-small cell lung cancer metastases in TRACERxNature · 267 citations
Research in numbers
From OpenAlex- article185
- review4
- preprint4
- editorial2
- conference paper2
- Radiotherapy and Oncology17
- Nature14
- Scientific Reports13
- International Journal of Radiation Oncology*Biology*Physics10
- PLoS ONE8
- Philippe Lambin43
- Raymond H. Mak41
- Nicolai J. Birkbak29
- Chintan Parmar27
- Andre L.A.J. Dekker22
Experience and education
Universities
2013 to 2021Boston University
2020Goethe University Frankfurt
2019Semmelweis University
2015University of Bern
Industry and labs
2013 to 2026Brigham and Women's Hospital
2023 to 2024Boston Children's Hospital
2017Roche (Switzerland)
2015University Health Network
2014European Bioinformatics Institute
2012 to 2013Philips (Finland)