Borbála Deák-Karancsi

General Electric (Spain) — Spain

Physics and Astronomy · Physical Sciences

4h-index24citations14works0.02yr avg
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Research Topics

Advanced Radiotherapy Techniques(8), Radiomics and Machine Learning in Medical Imaging(8), Medical Imaging Techniques and Applications(3), MRI in cancer diagnosis(3), Head and Neck Cancer Studies(2)

Publications14 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
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
2967: A combined automatic MR OAR contouring and synthetic CT solution for prostate MR-only radiotherapy
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
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
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning
2021· 4 citedOpen Access
Glioma Segmentation with 3D U-Net Backed with Energy-Based Post-Processing
Lecture notes in computer science·2021

Frequent Co-authors

László Ruskó(13), Marta Capala(11), Steven Petit(11), C. Cozzini(9), Florian Wiesinger(8), Bernadett Kolozsvári(8), H. McCallum(8), J. Wyatt(8), Katalin Hidéghety(7), Gerda M. Verduijn(6), Vanda Czipczer(6), Viktor Paczona(5), Emőke Borzási(5), Zoltán Végváry(5), Renáta Kószó(5), R. Pearson(5), Ross J. Maxwell(5), Juan A. Hernández‐Tamames(5), Zsófia Együd(4), Renáta Czabány(4)