S. Linden, L. Stam, R. Aquarius, A. Hering, C. de Korte, M. Prokop, H. Boogaarts, F. Meijer and L. Oostveen, "Feasibility of capturing vessel expansion with 4D-CTA: Phantom study to determine reproducibility, spatial and temporal resolution",
Medical Physics,
2024;51:7171-7179.
F. Peisen, A. Gerken, A. Hering, I. Dahm, K. Nikolaou, S. Gatidis, T. Eigentler, T. Amaral, J. Moltz and A. Othman, "Can Delta Radiomics Improve the Prediction of Best Overall Response, Progression-Free Survival, and Overall Survival of Melanoma Patients Treated with Immune Checkpoint Inhibitors?",
Cancers,
2024;16:2669.
T. Buddenkotte, R. Opfer, J. Kruger, A. Hering and M. Crispin-Ortuzar, "CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration",
Machine Learning for Biomedical Imaging,
2024;2:2067-2088.
I. Dahm, M. Kolb, S. Altmann, K. Nikolaou, S. Gatidis, A. Othman, A. Hering, J. Moltz and F. Peisen, "Reliability of Automated RECIST 1.1 and Volumetric RECIST Target Lesion Response Evaluation in Follow-Up CT--A Multi-Center, Multi-Observer Reading Study",
Cancers,
2024;16:4009.
A. Hering, M. Westphal, A. Gerken, H. Almansour, M. Maurer, B. Geisler, T. Kohlbrandt, T. Eigentler, T. Amaral, N. Lessmann, S. Gatidis, H. Hahn, K. Nikolaou, A. Othman, J. Moltz and F. Peisen, "Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow",
International Journal of Computer Assisted Radiology and Surgery,
2024.
M. de Grauw, E. Scholten, E. Smit, M. Rutten, M. Prokop, B. van Ginneken and A. Hering, "The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography",
arXiv:2406.05231,
2024.
A. Hering, S. de Boer, A. Saha, J. Twilt, D. Yakar, M. de Rooij, H. Huisman and J.S. Bosma, "Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis",
arXiv:2404.09666,
2024.
H. Häntze, L. Xu, L. Donle, F. Dorfner, A. Hering, L. Adams and K. Bressem, "Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans",
arXiv:2405.03713,
2024.
H. Häntze, L. Xu, F. Dorfner, L. Donle, D. Truhn, H. Aerts, M. Prokop, B. van Ginneken, A. Hering, L. Adams and K. Bressem, "MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences",
arXiv:2405.06463,
2024.
A. Hering, S. de Boer, A. Saha, J. Twilt, M. Heinrich, D. Yakar, M. de Rooij, H. Huisman and J.S. Bosma, "Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis",
Biomedical Image Registration,
2024:148-162.
L. Philipp, M. de Rooij, J. Hermans, M. Rutten, H. Hahn, B. van Ginneken and A. Hering, "Annotation-Efficient Strategy for Segmentation of 3D Body Composition",
Medical Imaging with Deep Learning,
2024.
L. Builtjes, M. Brink, B. van Ginneken and A. Hering, "Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions",
Medical Imaging with Deep Learning,
2024.
F. Falta, C. Gro\ssbr öhmer, A. Hering, A. Bigalke and M. Heinrich, "Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B",
Bildverarbeitung fur die Medizin 2024,
2024:53-53.
T. Kohlbrandt, J. Moltz, S. Heldmann, A. Hering and J. Lellmann, "Joint Learning of Image Registration and Change Detection for Lung CT Images",
Bildverarbeitung fur die Medizin 2024,
2024:46-51.