Publications

Bridging the gap between radiology and histology through AI-driven registration and reconstruction

AI-driven combined deformable registration and image synthesis between radiology and histopathology

Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels

Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT

Exploring Deep Registration Latent Spaces

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks

Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration

A proof of concept for MR-only workflow in CyberKnife intracranial radiosurgery

Evaluation of AI based synthetic CT generation for T2w pelvis MRIs

Evaluation of AI based CT auto-contouring of synthetic CTs as an indicator for synthesis quality

Evaluation of a new AI-based sCT generator for MR-only radiotherapy workflows

Dosimetric evaluation of AI-based synthetic CTs for MRI-only brain radiotherapy

Dosimetric Evaluation of Dose Calculation Uncertainties for MR-Only Approaches in Prostate MR-Guided Radiotherapy

Characterisation of synthetic CTs clinical quality: which gamma indices to evaluate in practice?

Dosimetric evaluation of dose calculation uncertainties for MR-only treatments of pelvic MRgRT

Clinical evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic MR

AI-based OAR delineation in brain T1w-MRI: Overcoming Inter- and Intra-observer variability

Clinical evaluation of organs at risk automatic-segmentation for T2-weigthed MRI

AI surpassing human expert: a multi-centric evaluation for organ at risk delineation

A Multi-Centric Evaluation of AI-Driven Synthetic CT Generation Form Low Field Magnetic Resonance Imaging

A Multi-Centric Evaluation of AI-Driven OARs Low Field MRgRT Pelvic /Abdomen Contouring

Human-Level Precision Upper Abdominal OAR Contouring With Anatomically Preserving Deep Learning During Magnetic Resonance Imaging Guided Adaptive Radiotherapy (MRgRT)

Synthetic-CT generation from T1w brain MRIs with a cascaded GANs ensemble approach

Automatic synthetic-CT generation from unpaired T2w pelvis MRIs using ensembled self-supervised GANs

Development and quantitative evaluation of AI-based pelvic MRI autocontouring for adaptive MRgRT

Synthetic CT from MRI with deep learning: Assessing the clinical impact of generated errors

Optimizing the generation of brain pseudo-CT from MRI based on a highly efficient 3D neural network

Assessment of the generalizability to pediatric protontherapy of a 3D network generating pseudo-CT

Training and validation of an AI-based MRI auto-contouring method for pelvic organs

Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning

Pseudo Computed Tomography generation using 3D deep learning – Application to brain radiotherapy

Assessing the impact of key preprocessing concepts on the pseudo CT generation

Quantitative and Qualitative Evaluation of an Automated Planning Solution for Prostate Radiotherapy

Deep Particles Embedding: accelerating Monte-Carlo dose simulations

Automation of prostate treatment planning with template dose mimicking constraints

Dose Predictions for Head and Neck Cancers Using Hybrid Structure Sets Containing Manual and Automated Contours

Fast Monte-Carlo dose simulation with recurrent deep learning

DeepDoseOpt: End-to-End VMAT Pelvis Dose Prediction & Treatment Planning Inference

High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs

End-to-end Treatment Planning Optimization through Dose/Anatomy-based Metric-learning kNN Embeddings

Weakly supervised 3D ConvLSTMs for Monte-Carlo radiotherapy dose simulations

SIMSEB: Unlocking the Dosimetric Potential of Sequential Boost Plans in VMAT Through Simultaneous Optimization

Single-timepoint Low-dimensional Characterization and Classification of Acute versus Chronic Multiple Sclerosis Lesions using Machine Learning

Cosmetic assessment in the UNICANCER HypoG-01 trial: a deep learning approach

Style-based generative model to reconstruct head and neck 3D CTs

Full 3D CT reconstruction from partial bi-planar projections using a deep generative model

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images

Joint Deformable Image Registration and ADC Map Regularization: Application to DWI-Based Lymphoma Classification

End-to-End Multi-Slice-to-Volume Concurrent Registration and Multimodal Generation

An efficient training approach for brain paediatrics synthetic CT generation for protontherapy

COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

Multimodal Brain Tumor Classification

Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data

Holistic artificial intelligence-driven predictor in HER2-positive (HER2+) early breast cancer (BC) treated with neoadjuvant lapatinib and trastuzumab without chemotherapy: A correlative analysis from SOLTI-1114 PAMELA

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis

Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

Deep Learning for Image Matching and Co‐registration

Cell-Rad: Towards Histology-driven Radiation Oncology from Multi-Parametric MRI

Brain Tumor Segmentation with Self-ensembled, Deeply-Supervised 3D U-Net Neural Networks: A BraTS 2020 Challenge Solution

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Weakly Supervised Multiple Instance Learning Histopathological Tumor Segmentation

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention

Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation

Artificial intelligence applications for thoracic imaging

Are current margins in locally advanced cervical cancers treated by tomotherapy appropriate?

Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets

Tighter continuous relaxations for MAP inference in discrete MRFs: A survey

Gene Expression High-Dimensional Clustering Towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature

Deep learning: definition and perspectives for thoracic imaging

Context Aware 3D CNNs for Brain Tumor Segmentation