Cover Image

mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tzanis, Eleftherios, Klontzas, Michail E.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
by: Tzanis, Eleftherios, et al.
Published: (2025)

Deep-learning-driven end-to-end metalens imaging
by: Seo, Joonhyuk, et al.
Published: (2023)

An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
by: Chavan, Rugved, et al.
Published: (2024)

An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
by: Starmans, Martijn P. A., et al.
Published: (2021)

SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction
by: Dong, Minghao, et al.
Published: (2025)

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
by: Primakov, Sergey, et al.
Published: (2022)

End-to-end Multi-source Visual Prompt Tuning for Survival Analysis in Whole Slide Images
by: Qiu, Zhongwei, et al.
Published: (2024)

Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems
by: Chand, Jyothi Rikhab, et al.
Published: (2024)

Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data
by: Mukherjee, Subrata
Published: (2025)

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
by: Kebaili, Aghiles, et al.
Published: (2023)

End-to-end optimization of sparse ultrasound linear probes
by: Urrea, Sergio, et al.
Published: (2026)

Towards robust radiomics and radiogenomics predictive models for brain tumor characterization
by: Nadeem, Maria, et al.
Published: (2024)

End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
by: Nguyen, Dat Thanh, et al.
Published: (2024)

Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)

Hyperspectral image reconstruction by deep learning with super-Rayleigh speckles
by: Chen, Ziyan, et al.
Published: (2025)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

End-to-end image compression and reconstruction with ultrahigh speed and ultralow energy enabled by opto-electronic computing processor
by: Wang, Yuhang, et al.
Published: (2025)

Implicit neural representations for end-to-end PET reconstruction
by: Moussaoui, Younès, et al.
Published: (2025)

Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression
by: Gungordu, Oguzhan, et al.
Published: (2024)

Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning
by: Dawood, Peter, et al.
Published: (2024)

CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method
by: Ponomarchuk, Alexander, et al.
Published: (2024)

End-to-end metasurface design for temperature imaging via broadband Planck-radiation regression
by: Fisher, Sophie, et al.
Published: (2024)

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics
by: Deshpande, Rucha, et al.
Published: (2024)

Rethinking domain generalization in medical image segmentation: One image as one domain
by: Hong, Jin, et al.
Published: (2025)

A multi-dynamic low-rank deep image prior (ML-DIP) for 3D real-time cardiovascular MRI
by: Chen, Chong, et al.
Published: (2025)

Towards optimal multimode fiber imaging by leveraging input polarization and deep learning
by: Maqbool, Jawaria, et al.
Published: (2023)

Quality assessment of brain structural MR images: Comparing generalization of deep learning versus hand-crafted feature-based machine learning methods to new sites
by: Kaur, Prabhjot, et al.
Published: (2026)

A multitask framework for automated interpretation of multi-frame right upper quadrant ultrasound in clinical decision support
by: Guo, Haiman, et al.
Published: (2026)

End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications
by: Oz, Navot, et al.
Published: (2025)

High-resolution single-pixel imaging in real time with iterative or deep learning-based reconstruction enhancement
by: Pastuszczak, Anna, et al.
Published: (2025)

Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
by: Santini, Francesco, et al.
Published: (2023)

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
by: Yousefirizi, Fereshteh, et al.
Published: (2022)

A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond
by: Chen, Junyu, et al.
Published: (2023)

Federated Learning: A new frontier in the exploration of multi-institutional medical imaging data
by: Ciupek, Dominika, et al.
Published: (2025)

Oral squamous cell detection using deep learning
by: Sharma, Samrat Kumar Dev
Published: (2024)

Rich-U-Net: A medical image segmentation model for fusing spatial depth features and capturing minute structural details
by: Fang, Zhuoyi, et al.
Published: (2026)

Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)

Regularized joint reconstruction and slab combination for accelerated three-dimensional multi-slab diffusion-weighted imaging using multi-scale energy models
by: Ghorbani, Reza, et al.
Published: (2026)

End-to-end audio-visual learning for cochlear implant sound coding simulations in noisy environments
by: Lin, Meng-Ping, et al.
Published: (2025)

A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging
by: Lavrova, Elizaveta, et al.
Published: (2024)