Heinrich von Busch

Seoul National University — South Korea

Medicine · Health Sciences

11h-index428citations28works2.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(19), Prostate Cancer Diagnosis and Treatment(18), Prostate Cancer Treatment and Research(9), MRI in cancer diagnosis(8), AI in cancer detection(5)

Publications28 total

Diagnostic performance of a fully automated AI algorithm for lesion detection and PI-RADS classification in patients with suspected prostate cancer
La radiologia medica·2025· 2 citedOpen Access
Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI
Clinical Imaging·2025· 1 cited
MRI-based Deep Learning Algorithm for Assisting Clinically Significant Prostate Cancer Detection: A Bicenter Prospective Study
Radiology·2025· 16 cited
Improved prostate cancer diagnosis: upgraded prostate imaging reporting and data system (PI-RADS) scores by zoomed diffusion-weighted imaging enhance deep-learning-based computer-aided diagnosis accuracy
Quantitative Imaging in Medicine and Surgery·2025Open Access
Multi-Center Benchmarking of a Commercially Available Artificial Intelligence Algorithm for Prostate Imaging Reporting and Data System (PI-RADS) Score Assignment and Lesion Detection in Prostate MRI
Cancers·2025· 4 citedOpen Access
Multi-site segmentation of breast and fibroglandular tissue in MRI with a focus on clinical practicality
2025
Evaluating the performance of deep learning system for detecting focal liver lesions on contrast-enhanced MRI
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
Improving PI-RADS rating with Zoomed Diffusion-Weighted Imaging in Deep Learning CAD Systems
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
Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets
Radiology Artificial Intelligence·2024· 3 citedOpen Access
Deep Learning-based Automatic Perfusion Phase Identification for Dynamic T1-weighted Liver MRI
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
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets
arXiv (Cornell University)·2024Open Access
Deep Learning–Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast‐Enhanced <scp>MRI</scp>
Journal of Magnetic Resonance Imaging·2024· 11 cited
Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI
Informatik aktuell·2024· 1 cited
MRI Based Automated Deep-Learning System in the Assessment of Prostate Cancer: Comparison of Advanced Zoomed DWI and Conventional Technique
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·2023
Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI‐algorithm for lesion detection and classification
The Prostate·2023· 15 citedOpen Access
Comparison of a Deep Learning‐Accelerated vs. Conventional <scp>T2</scp> ‐Weighted Sequence in Biparametric <scp>MRI</scp> of the Prostate
Journal of Magnetic Resonance Imaging·2023· 25 citedOpen Access
Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRI
Investigative Radiology·2023· 52 cited
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique
Cancer Imaging·2023· 19 citedOpen Access
Prostate gland volume estimation: anteroposterior diameters measured on axial versus sagittal ultrasonography and magnetic resonance images
ULTRASONOGRAPHY·2022· 6 citedOpen Access
A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists
European Radiology·2022· 39 citedOpen Access
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Frequent Co-authors

Robert Grimm(24), Ali Kamen(13), Moon Hyung Choi(12), Bin Lou(11), David Winkel(9), Dieter Szolar(9), Ivan Shabunin(8), Tobias Penzkofer(8), Angela Tong(7), Dorin Comaniciu(7), Henkjan Huisman(7), Pengyi Xing(6), Caixia Fu(6), Steven M. Shea(5), Lei Hu(4), Thomas Benkert(4), Fergus V. Coakley(4), Jungong Zhao(4), Young Joon Lee(3), Qingsong Yang(3)