Robert Martí

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Associate Professor.

Universitat de Girona

Spain

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About

Robert Martí is an Associate Professor at the University of Girona in Spain. His research primarily focuses on medical imaging, particularly in the areas of ultrasound and breast imaging. His recent publications include works on federated learning algorithms, knowledge distillation for medical images, and synthetic image generation. He is also actively involved in benchmarking and evaluating artificial intelligence applications in medical diagnostics.

Recent Grants

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ICEBERG: Image Computing for Enhancing Breast Cancer Radiomics

Open Date: 2019-01-01

Close Date: 2021-12-01

Grant: Close

SMARTER: Smart Image Analysis for Screening Challenges in Breast Cancer

Open Date: 2015-01-01

Close Date: 2019-01-01

Grant: Close

ASSURE: Adapting Breast Cancer Screening Strategy Using Personalised Risk Estimation.

Open Date: 2012-01-01

Close Date: 2015-01-01

Robert Martí

Research Interests

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About

Recent Grants

Articles (19)

Corrigendum to “PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images” [Medical Image Analysis 99 (2025),103353] (Medical Image Analysis (2025) 99, (S1361841524002780), (10.1016/j.media.2024.103353))

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

MAM-E: Mammographic Synthetic Image Generation with Diffusion Models

BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data

Multi-vendor robustness analysis of a commercial artificial intelligence system for breast cancer detection

Special Section Guest Editorial: Introduction to the JMI Special Issue on Advances in Breast Imaging

A U-Net Ensemble for breast lesion segmentation in DCE MRI

Challenges of deep learning methods for COVID-19 detection using public datasets

DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation

Structural changes in subcutaneous and visceral abdominal fatty tissue induced by local application of 448 kHz capacitive resistive monopolar radiofrequency: a magnetic resonance imaging case study

Visual Attention and Color Cues for 6D Pose Estimation on Occluded Scenarios Using RGB-D Data

Lessons from the first DBTex Challenge

Are artificial intelligence systems useful in breast cancer screening programs?,¿Son los sistemas de inteligencia artificial una herramienta útil para los programas de cribado de cáncer de mama?

DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image

Breast ultrasound region of interest detection and lesion localisation

Collaborators (4)

Víctor Manuel Campello

William Hsu

Moi Hoon Yap

Kathleen Curran

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