Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2019)

mlVIRNET: Multilevel Variational Image Registration Network. - Alessa Hering; Bram van Ginneken; Stefan Heldmann (MICCAI (6), 2019)

Unsupervised learning for large motion thoracic CT follow-up registration. - Alessa Hering; Stefan Heldmann (Image Processing, 2019)

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. - Alessa Hering; Sven Kuckertz; Stefan Heldmann; Mattias P. Heinrich (Int. J. Comput. Assist. Radiol. Surg., 2019)

Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor. - Hans Meine; Alessa Hering (CoRR, 2019)

Abstract: mlVIRNET. - Alessa Hering; Stefan Heldmann (Bildverarbeitung für die Medizin, 2020)

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. - Stephanie Häger; Stefan Heldmann; Alessa Hering; Sven Kuckertz; Annkristin Lange (MICCAI (Challenges), 2020)

Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function. - Bianca Lassen-Schmidt; Alessa Hering; Stefan Krass; Hans Meine (CoRR, 2020)

Constraining Volume Change in Learned Image Registration for Lung CTs. - Alessa Hering; Stephanie Häger; Jan Hendrik Moltz; Nikolas Lessmann; Stefan Heldmann; Bram van Ginneken (CoRR, 2020)

Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. - Alessa Hering; Annkristin Lange; Stefan Heldmann; Stephanie Häger; Sven Kuckertz (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies. - Alessa Hering; Felix Peisen; Teresa Amaral; Sergios Gatidis; Thomas Eigentler; Ahmed Othman; Jan Hendrik Moltz (MIDL, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

CNN-based lung CT registration with multiple anatomical constraints. - Alessa Hering; Stephanie Häger; Jan Hendrik Moltz; Nikolas Lessmann; Stefan Heldmann; Bram van Ginneken (Medical Image Anal., 2021)

Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context. - Luca Canalini; Jan Klein 001; Annika Gerken; Stefan Heldmann; Alessa Hering; Horst K. Hahn (BrainLes@MICCAI, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance. - Nils Frohwitter; Alessa Hering; Ralf Möller 001; Mattis Hartwig (HEALTHINF, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. - Fenja Falta; Christoph Großbröhmer; Alessa Hering; Alexander Bigalke; Mattias P. Heinrich (NeurIPS, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

The ULS23 Challenge Public Training Dataset. - Max De Grauw; Natália Alves; Megan Schuurmans; Henkjan Huisman; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 2. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 3. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 4. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 5. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 6. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

The ULS23 Challenge Public Training Dataset Part 5. - Max De Grauw; Bram van Ginneken; Alessa Hering (Zenodo, 2023)

Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. - Fenja Falta; Christoph Großbröhmer; Alessa Hering; Alexander Bigalke; Mattias P. Heinrich (Bildverarbeitung für die Medizin, 2024)

Joint Learning of Image Registration and Change Detection for Lung CT Images. - Temke Kohlbrandt; Jan Hendrik Moltz; Stefan Heldmann; Alessa Hering; Jan Lellmann (Bildverarbeitung für die Medizin, 2024)

Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions. - Luc Builtjes; Monique Brink; Souraya Belkhir; Bram van Ginneken; Alessa Hering (MIDL, 2024)

Annotation-Efficient Strategy for Segmentation of 3D Body Composition. - Lena Philipp; Maarten de Rooij; John Hermans; Matthieu Rutten; Horst Karl Hahn; Bram van Ginneken; Alessa Hering (MIDL, 2024)

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Mattias P. Heinrich; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (WBIR, 2024)

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis. - Alessa Hering; Sarah de Boer; Anindo Saha; Jasper J. Twilt; Derya Yakar; Maarten de Rooij; Henkjan Huisman; Joeran S. Bosma (CoRR, 2024)

Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans. - Hartmut Häntze; Lina Xu; Leonhard Donle; Felix J. Dorfner; Alessa Hering; Lisa C. Adams; Keno K. Bressem (CoRR, 2024)

MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences. - Hartmut Häntze; Lina Xu; Felix J. Dorfner; Leonhard Donle; Daniel Truhn; Hugo J. W. L. Aerts; Mathias Prokop; Bram van Ginneken; Alessa Hering; Lisa C. Adams; Keno K. Bressem (CoRR, 2024)

CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration. - Thomas Buddenkotte; Roland Opfer; Julia Krüger; Alessa Hering; Mireia Crispin-Ortuzar (CoRR, 2024)

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. - Alessa Hering; Max Westphal; Annika Gerken; Haidara Almansour; Michael Maurer; Benjamin P. Geisler; Temke Kohlbrandt; Thomas Eigentler; Teresa Amaral; Nikolas Lessmann; Sergios Gatidis; Horst K. Hahn; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)

Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care. - Antonios Billis; Alessa Hering; Lili Jiang; Cora Meyer; Lisa Adams; Renato Cuocolo; Alexander Löser; Jawed Nawabi; Keno K. Bressem (CBMS, 2025)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Sarah de Boer; Víctor M. Campello; Aasa Feragen; Enzo Ferrante; Melanie Ganz; Judy Wawira Gichoya; Camila González; Steff Groefsema; Alessa Hering; Adam Hulman; et al. (FAccT, 2025)

The ULS23 challenge: A baseline model and benchmark dataset for 3D universal lesion segmentation in computed tomography. - M. J. J. de Grauw; Ernst Th. Scholten; Ewoud J. Smit; M. J. C. M. Rutten; Mathias Prokop; Bram van Ginneken; Alessa Hering (Medical Image Anal., 2025)

The DRAGON benchmark for clinical NLP. - Joeran S. Bosma; Koen Dercksen; Luc Builtjes; Romain André; Christian Roest; Stefan J. Fransen; Constant R. Noordman; Mar Navarro-Padilla; Judith Lefkes; Natália Alves; Max J. J. de Grauw; Leander van Eekelen; et al. (npj Digit. Medicine, 2025)

Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration. - Xuan Loc Pham; Mathias Prokop; Bram van Ginneken; Alessa Hering (CoRR, 2025)

OncoReg: Medical Image Registration for Oncological Challenges. - Wiebke Heyer; Yannic Elser; Lennart Berkel; Xinrui Song; Xuanang Xu; Pingkun Yan; Xi Jia; Jinming Duan 001; Zi Li; Tony C. W. Mok; Bowen Li; Christian Staackmann; et al. (CoRR, 2025)

Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework. - Sarah de Boer; Hartmut Häntze; Kiran Vaidhya Venkadesh; Myrthe A. D. Buser; Gabriel Efrain Humpire Mamani; Lina Xu; Lisa C. Adams; Jawed Nawabi; Keno K. Bressem; Bram van Ginneken; Mathias Prokop; Alessa Hering (CoRR, 2025)

Beyond the LUMIR challenge: The pathway to foundational registration models. - Junyu Chen 002; Shuwen Wei; Joel Honkamaa; Pekka Marttinen; Hang Zhang; Min Liu; Yichao Zhou; Zuopeng Tan; Zhuoyuan Wang; Yi Wang; Hongchao Zhou; Shunbo Hu; et al. (CoRR, 2025)

Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis. - Niels Rocholl; Ewoud J. Smit; Mathias Prokop; Alessa Hering (CoRR, 2025)

Leveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings. - Luc Builtjes; Joeran S. Bosma; Mathias Prokop; Bram van Ginneken; Alessa Hering (CoRR, 2025)