Publications

Radiology. Artificial intelligence

Tumor-preserving Deformable Registration of Longitudinal DCE Breast MRI during Neoadjuvant Chemotherapy.

01-07-2026

Medical image analysis

Leveraging modality-guided pre-training for dual-prompt-driven multi-cancer PET-CT segmentation.

20-06-2026

Nature communications

Towards robust foundation models for digital pathology.

11-06-2026

NPJ breast cancer

Enabling DCIS subtyping: leveraging foundation models for robust grading and molecular biomarker scoring.

06-05-2026

Medical image analysis

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.

01-05-2026

NPJ breast cancer

Development and internal validation of mammography feature-based prognostic models for distant recurrence-free survival of invasive breast cancer in a screening cohort.

20-04-2026

Cancer cell

Structuring pathology foundation models with domain knowledge.

13-04-2026

European radiology

Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case study.

02-04-2026

NPJ precision oncology

Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer.

29-01-2026

Scientific reports

Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study.

13-01-2026

Radiology. Artificial intelligence

Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports.

01-01-2026

Nature communications

Mammo-AGE: deep learning estimation of breast age from mammograms.

08-12-2025

Radiology

Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in Situ.

01-11-2025

The Lancet. Digital health

Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer.

01-11-2025

NPJ breast cancer

Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history.

29-10-2025

Journal of magnetic resonance imaging : JMRI

Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening.

01-10-2025

Cell reports methods

All-in-one medical image-to-image translation.

18-08-2025

EClinicalMedicine

Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model.

01-08-2025

The Lancet. Digital health

AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study.

01-08-2025

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

Application of Machine Learning to Breast MR Imaging.

01-07-2025

British journal of cancer

Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.

01-06-2025

EBioMedicine

Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features.

01-06-2025

bioRxiv : the preprint server for biology

A functionally validated TCR-pMHC database for TCR specificity model development.

12-05-2025

Medical image analysis

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.

01-04-2025

Magnetic resonance imaging

vSHARP: Variable Splitting Half-quadratic ADMM algorithm for reconstruction of inverse-problems.

01-01-2025

Journal of magnetic resonance imaging : JMRI

AI Applications to Breast MRI: Today and Tomorrow.

01-12-2024

Nature communications

An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer.

07-11-2024

Medical image analysis

Improving lesion volume measurements on digital mammograms.

01-10-2024

Medical physics

Deep learning-based low-dose CT simulator for non-linear reconstruction methods.

01-09-2024

Physics in medicine and biology

Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images.

05-08-2024

AJR. American journal of roentgenology

Beyond the AJR: A Breakthrough in the Use of Artificial Intelligence for Mammography in Screening for Breast Cancer.

01-06-2024

Cancer imaging : the official publication of the International Cancer Imaging Society

Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.

05-04-2024

Magnetic resonance imaging

On retrospective k-space subsampling schemes for deep MRI reconstruction.

01-04-2024

European journal of radiology

Artificial intelligence and explanation: How, why, and when to explain black boxes.

01-04-2024

Investigative radiology

Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction.

01-03-2024

Medical physics

Development, validation, and simplification of a scanner-specific CT simulator.

01-03-2024

The Journal of pathology

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

01-03-2024

Medical image analysis

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.

01-02-2024

Journal of medical imaging (Bellingham, Wash.)

Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors.

01-01-2024

Insights into imaging

Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysis.

05-12-2023

Medical physics

End-to-end memory-efficient reconstruction for cone beam CT.

01-12-2023

Cell reports. Medicine

RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease.

15-08-2023

The Journal of pathology

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

01-08-2023

The Journal of pathology

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

01-08-2023

Nature communications

Author Correction: Federated learning enables big data for rare cancer boundary detection.

26-01-2023

Nature communications

Federated learning enables big data for rare cancer boundary detection.

05-12-2022

Seminars in radiation oncology

Artificial Intelligence for Image Registration in Radiation Oncology.

01-10-2022

Seminars in nuclear medicine

Application of Deep Learning in Breast Cancer Imaging.

01-09-2022

Frontiers in neuroscience

Multi-Coil MRI Reconstruction Challenge-Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations.

26-07-2022

Diagnostics (Basel, Switzerland)

Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI.

11-07-2022

Tumor-preserving Deformable Registration of Longitudinal DCE Breast MRI during Neoadjuvant Chemotherapy.

Leveraging modality-guided pre-training for dual-prompt-driven multi-cancer PET-CT segmentation.

Towards robust foundation models for digital pathology.

Enabling DCIS subtyping: leveraging foundation models for robust grading and molecular biomarker scoring.

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms.

Development and internal validation of mammography feature-based prognostic models for distant recurrence-free survival of invasive breast cancer in a screening cohort.

Structuring pathology foundation models with domain knowledge.

Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case study.

Multi-omics deep learning improves FDG PET-CT-based long-term prognostication of breast cancer.

Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study.

Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports.

Mammo-AGE: deep learning estimation of breast age from mammograms.

Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in Situ.

Label-efficient computational tumour infiltrating lymphocyte assessment in breast cancer (ECTIL): multicentre validation in 2340 patients with breast cancer.

Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history.

Potential Time and Recall Benefits for Adaptive AI-Based Breast Cancer MRI Screening.

All-in-one medical image-to-image translation.

Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model.

AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study.

Application of Machine Learning to Breast MR Imaging.

Development of radiomics-based models on mammograms with mass lesions to predict prognostically relevant characteristics of invasive breast cancer in a screening cohort.

Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features.

A functionally validated TCR-pMHC database for TCR specificity model development.

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.

vSHARP: Variable Splitting Half-quadratic ADMM algorithm for reconstruction of inverse-problems.

AI Applications to Breast MRI: Today and Tomorrow.

An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer.

Improving lesion volume measurements on digital mammograms.

Deep learning-based low-dose CT simulator for non-linear reconstruction methods.

Enhancing the reliability of deep learning-based head and neck tumour segmentation using uncertainty estimation with multi-modal images.

Beyond the AJR: A Breakthrough in the Use of Artificial Intelligence for Mammography in Screening for Breast Cancer.

Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.

On retrospective k-space subsampling schemes for deep MRI reconstruction.

Artificial intelligence and explanation: How, why, and when to explain black boxes.

Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction.

Development, validation, and simplification of a scanner-specific CT simulator.

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI.

Deep learning-based breast region segmentation in raw and processed digital mammograms: generalization across views and vendors.

Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysis.

End-to-end memory-efficient reconstruction for cone beam CT.

RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease.

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Author Correction: Federated learning enables big data for rare cancer boundary detection.

Federated learning enables big data for rare cancer boundary detection.

Artificial Intelligence for Image Registration in Radiation Oncology.

Application of Deep Learning in Breast Cancer Imaging.

Multi-Coil MRI Reconstruction Challenge-Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations.

Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI.

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