publications

2026

1. Dense Temporal Contrast Synthesis via Conditioned Latent Transport

   Smriti Joshi, and  others

   2026

   Submitted to Medical Image Analysis

2025

1. The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction

   Lidia Garrucho, Smriti Joshi, and  others

   2025

   Equal contribution (Garrucho, Joshi). Submitted to IEEE Transactions on Medical Imaging
2. Single Image Test-Time Adaptation via Multi-View Co-Training

   Smriti Joshi, Richard Osuala, Lidia Garrucho, and 4 more authors

   In International Conference on Medical Image Computing and Computer Assisted Intervention, 2025
3. Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks

   Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, and 6 more authors

   Journal of Medical Imaging, 2025
4. A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

   Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, and 3 more authors

   Scientific Data, 2025
5. Stakeholder Engagement for Trustworthy AI: Experiences and Results from the RadioVal Project on Breast Cancer Imaging

   Miriam Cabrita, Carina Dantas, Harm Akker, and 8 more authors

   In Trustworthy AI in Cancer Imaging Research, 2025

2024

1. Leveraging epistemic uncertainty to improve tumour segmentation in breast MRI: an exploratory analysis

   Smriti Joshi, Richard Osuala, Lidia Garrucho, and 6 more authors

   In Medical Imaging 2024: Image Processing, 2024

2023

1. 

   CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

   Reuben Dorent, Aaron Kujawa, Marina Ivory, and 37 more authors

   Medical Image Analysis, 2023

   Abs

   Domain Adaptation (DA) has recently been of strong interest in the medical imaging community. To tackle these limitations, the Cross-Modality Domain Adaptation (crossMoDA) challenge was organised in conjunction with MICCAI 2021. CrossMoDA is the first large and multi-class benchmark for unsupervised cross-modality Domain Adaptation targeting vestibular schwannoma and cochlea segmentation. The level of performance reached by the top-performing teams is strikingly high (best median Dice score — VS: 0.88; Cochleas: 0.86) and close to full supervision.

2. 

   medigan: a Python library of pretrained generative models for medical image synthesis

   Richard Osuala, Grzegorz Skorupko, Noussair Lazrak, and 8 more authors

   Journal of Medical Imaging, 2023
3. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

   Karim Lekadir, and  others

   2023
4. Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

   Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, and 4 more authors

   2023

   Code

2021

1. 

   nn-UNet training on CycleGAN-translated images for cross-modal domain adaptation in biomedical imaging

   Smriti Joshi, Richard Osuala, Carlos Martín-Isla, and 4 more authors

   In International MICCAI Brainlesion Workshop, 2021