László Ruskó

General Electric (Spain) — Spain

Medicine · Health Sciences

12h-index1.6kcitations49works0.22yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(23), Medical Image Segmentation Techniques(20), Medical Imaging Techniques and Applications(17), Advanced Radiotherapy Techniques(12), Advanced X-ray and CT Imaging(7)

Publications49 total

Automated MR-only radiotherapy outperforms CT-based radiotherapy and decreases hands-on time for head-and-neck cancer treatment
Clinical and Translational Radiation Oncology·2026Open Access
A combined automatic organ at risk contouring and synthetic Computed Tomography solution for pelvic Magnetic Resonance-only radiotherapy
Physics and Imaging in Radiation Oncology·2026Open Access
Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations
arXiv (Cornell University)·2025Open Access
Weakly-Supervised Brain Segmentation for MR Images
International Journal of Radiation Oncology*Biology*Physics·2025
3319 Automated MR-only radiotherapy outperforms conventional MR-CT based radiotherapy in accuracy for head-and-neck cancer (MEC-2019-0805)
Radiotherapy and Oncology·2025
2511 Evaluation of SAM and SAM2 from clinical perspective for organ delineation
Radiotherapy and Oncology·2025
Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders
arXiv (Cornell University)·2025Open Access
Synthetic CT generation using Zero TE MR for head-and-neck radiotherapy
Radiotherapy and Oncology·2025· 2 citedOpen Access
Towards Automated Deep Learning based MR-only Radiation Therapy Planning in <5mins MR Scan Time
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
2967: A combined automatic MR OAR contouring and synthetic CT solution for prostate MR-only radiotherapy
Radiotherapy and Oncology·2024
202: Evaluation of foundation models for semi-automated organ delineation in MR images
Radiotherapy and Oncology·2024
Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning
Frontiers in Physics·2023· 5 citedOpen Access
PO-1628 Dosimetric Evaluation of MR-based Deep Learning Automatic Contouring in the Pelvis
Radiotherapy and Oncology·2023
PD-0324 Automated MR-Only RT for H&N cancer: synthetic CTs, autocontouring and automated treatment planning
Radiotherapy and Oncology·2023
Magnetic Resonance Imaging–Based Delineation of Organs at Risk in the Head and Neck Region
Advances in Radiation Oncology·2022· 10 citedOpen Access
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists
Neurocomputing·2022· 21 citedOpen Access
OC-0093 Automated organ at risk delineation in T2w head and pelvis MR images for MR-only radiation therapy
Radiotherapy and Oncology·2021
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning
2021· 5 citedOpen Access
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19
Lecture notes in computer science·2021· 5 cited
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning
2021· 4 citedOpen Access
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Frequent Co-authors

Steven Petit(14), Marta Capala(13), Borbála Deák-Karancsi(13), C. Cozzini(12), Florian Wiesinger(11), Katalin Hidéghety(11), H. McCallum(10), Lehel Ferenczi(9), Bernadett Kolozsvári(9), J. Wyatt(9), Barbara Darázs(8), Juan A. Hernández‐Tamames(8), Viktor Paczona(7), Zoltán Végváry(7), Gerda M. Verduijn(7), Antal Nagy(6), Vanda Czipczer(6), Sandeep Kaushik(6), Attila Kuba(5), Lajos Rodek(5)