J.S. Bosma, L. Builtjes, A. Saha, J. Twilt, M. Tsiknakis, K. Marias, D. Regge, N. Papanikolaou, I. Schoots, J. Veltman, M. Elschot, D. Yakar, N. Obuchowski, M. Heinrich, A. Hering, M. de Rooij and H. Huisman, "Scalable Clinical Annotation with Location Evidence (SCALE)",
Computers in Biology and Medicine,
2025;199:111321.
L. Builtjes, J. Bosma, M. Prokop, B. van Ginneken and A. Hering, "Leveraging open-source large language models for clinical information extraction in resource-constrained settings",
JAMIA Open,
2025;8.
L. Stam, S. Linden, R. Aquarius, A. Hering, L. Oostveen, F. Meijer and H. Boogaarts, "In-vivo cerebral artery pulsation assessment with Dynamic computed tomography angiography",
European Journal of Radiology,
2025;182:111828.
H. Häntze, L. Xu, M. Rattunde, L. Donle, F. Dorfner, A. Hering, J. Nawabi, L. Adams and K. Bressem, "MRI annotation using an inversion-based preprocessing for CT model adaptation",
European Radiology Experimental,
2025;9.
J.S. Bosma, K. Dercksen, L. Builtjes, R. André, C. Roest, S. Fransen, C. Noordman, M. Navarro-Padilla, J. Lefkes, N. Alves, M. de Grauw, L. van Eekelen, J. Spronck, M. Schuurmans, B. de Wilde, W. Hendrix, W. Aswolinskiy, A. Saha, J. Twilt, D. Geijs, J. Veltman, D. Yakar, M. de Rooij, F. Ciompi, A. Hering, J. Geerdink, H. Huisman, O. behalf of the consortium, M. de Grauw, L. van Eekelen, B. de Wilde, Q. van Lohuizen, M. Stegeman, K. Rutten, I. Smit, G. Stultiens, C. Overduin, M. Rutten, E. Scholten, R. van der Post, K. Grünberg, S. Vos, E. Taken, I. Nagtegaal, A. Mickan, M. Groeneveld, P. Gerke, J. Meakin, M. Looijen-Salamon, T. de Haas, F. Hoitsma, M. D'Amato and M. de Rooij, "The DRAGON benchmark for clinical NLP",
npj Digital Medicine,
2025;8.
S. Gaur, M. Vitale, A. Hering, J. Kwisthout, C. Jacobs, L. Philipp and F. van der Graaf, "Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening",
Machine Learning for Biomedical Imaging,
2025;3:559-580.
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.
F. Peisen, A. Gerken, A. Hering, I. Dahm, K. Nikolaou, S. Gatidis, T. Eigentler, T. Amaral, J. Moltz and A. Othman, "Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study",
Diagnostics,
2023;13:3210.
A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Hager, A. Lange, S. Kuckertz, S. Heldmann, W. Shao, S. Vesal, M. Rusu, G. Sonn, T. Estienne, M. Vakalopoulou, L. Han, Y. Huang, P. Yap, M. Brudfors, Y. Balbastre, S. Joutard, M. Modat, G. Lifshitz, D. Raviv, J. Lv, Q. Li, V. Jaouen, D. Visvikis, C. Fourcade, M. Rubeaux, W. Pan, Z. Xu, B. Jian, F. De Benetti, M. Wodzinski, N. Gunnarsson, J. Sjolund, D. Grzech, H. Qiu, Z. Li, A. Thorley, J. Duan, C. Grosbrohmer, A. Hoopes, I. Reinertsen, Y. Xiao, B. Landman, Y. Huo, K. Murphy, N. Lessmann, B. van Ginneken, A. Dalca and M. Heinrich, "Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning",
IEEE Transactions on Medical Imaging,
2023;42:697-712.
L. Canalini, J. Klein, D. Waldmannstetter, F. Kofler, S. Cerri, A. Hering, S. Heldmann, S. Schlaeger, B. Menze, B. Wiestler, J. Kirschke and H. Hahn, "Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment",
Frontiers in Neuroimaging,
2022;1.
H. Roth, Z. Xu, C. Tor-Díez, R. Sanchez Jacob, J. Zember, J. Molto, W. Li, S. Xu, B. Turkbey, E. Turkbey, D. Yang, A. Harouni, N. Rieke, S. Hu, F. Isensee, C. Tang, Q. Yu, J. Sölter, T. Zheng, V. Liauchuk, Z. Zhou, J. Moltz, B. Oliveira, Y. Xia, K. Maier-Hein, Q. Li, A. Husch, L. Zhang, V. Kovalev, L. Kang, A. Hering, J. Vilaça, M. Flores, D. Xu, B. Wood and M. Linguraru, "Rapid artificial intelligence solutions in a pandemic--The COVID-19-20 Lung CT Lesion Segmentation Challenge",
Medical Image Analysis,
2022;82:102605.
F. Peisen, A. Hänsch, A. Hering, A. Brendlin, S. Afat, K. Nikolaou, S. Gatidis, T. Eigentler, T. Amaral, J. Moltz and A. Othman, "Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy",
Cancers,
2022;14:2992.
A. Hering, S. Hager, J. Moltz, N. Lessmann, S. Heldmann and B. van Ginneken, "CNN-based Lung CT Registration with Multiple Anatomical Constraints",
Medical Image Analysis,
2021;72:102139.
M. Sieren, F. Brenne, A. Hering, H. Kienapfel, N. Gebauer, T. Oechtering, A. Fürschke, F. Wegner, E. Stahlberg, S. Heldmann, J. Barkhausen and A. Frydrychowicz, "Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software",
European Radiology,
2020;30:3198-3209.
A. Hering, S. Kuckertz, S. Heldmann and M. Heinrich, "Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans",
Computer Assisted Radiology and Surgery,
2019.
M. Stegeman, L. Philipp, F. van der Graaf, M. D'Amato, C. Grisi, L. Builtjes, J.S. Bosma, J. Lefkes, R. Weber, J. Meakin, T. Koopman, A. Mickan, M. Prokop, E. Smit, G. Litjens, J. van der Laak, B. van Ginneken, M. de Rooij, H. Huisman, C. Jacobs, F. Ciompi and A. Hering, "Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language",
arXiv:2603.02790,
2026.
J. Chen, S. Wei, J. Honkamaa, P. Marttinen, H. Zhang, M. Liu, Y. Zhou, Z. Tan, Z. Wang, Y. Wang, H. Zhou, S. Hu, Y. Zhang, Q. Tao, L. Förner, T. Wendler, B. Jian, B. Wiestler, T. Hable, J. Kim, D. Ruan, F. Madesta, T. Sentker, W. Heyer, L. Zuo, Y. Dai, J. Wu, J. Prince, H. Bai, Y. Du, Y. Liu, A. Hering, R. Dorent, L. Hansen, M. Heinrich and A. Carass, "Beyond the LUMIR challenge: The pathway to foundational registration models",
arXiv:2505.24160,
2025.
X. Pham, G. Vuurberg, M. Doppen, J. Roosen, T. Stille, T. Ha, T. Quach, Q. Dang, M. Luu, E. Smit, H. Mai, M. Heinrich, B. van Ginneken, M. Prokop and A. Hering, "TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration",
arXiv:2508.04450,
2025.
N. Rocholl, E. Smit, M. Prokop and A. Hering, "Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis",
arXiv:2507.19230,
2025.
S. de Boer, H. Häntze, K. Venkadesh, M. Buser, G. Mamani, L. Xu, L. Adams, J. Nawabi, K. Bressem, B. van Ginneken, M. Prokop and A. Hering, "Robust Kidney Abnormality Segmentation: A Validation Study of an AI-Based Framework",
arXiv:2505.07573,
2025.
W. Heyer, Y. Elser, L. Berkel, X. Song, X. Xu, P. Yan, X. Jia, J. Duan, Z. Li, T. Mok, B. LI, C. Staackmann, C. Gro\ssbr öhmer, L. Hansen, A. Hering, M. Sieren and M. Heinrich, "OncoReg: Medical Image Registration for Oncological Challenges",
arXiv:2503.23179,
2025.
L. Hansen, W. Heyer, C. Gro\ssbr öhmer, F. Madesta, T. Sentker, W. Jiazheng, Y. Zhang, H. Zhang, M. Liu, J. Wang, X. Zhu, Y. Li, L. Wang, D. Morozov, N. Haouchine, J. Honkamaa, P. Marttinen, Y. Zhou, Z. Tan, Z. Wang, Y. Wang, H. Zhou, S. Hu, Y. Zhang, Q. Tao, L. Förner, T. Wendler, B. Jian, C. Wachinger, J. Kim, D. Ruan, M. Wodzinski, H. Müller, T. Mok, X. Jia, J. Duan, M. Brudfors, S. Ahmadi, Y. Zhu, W. Hsu, T. Kapur, W. Wells, A. Golby, A. Carass, H. Bai, Y. Liu, P. Paul-Gilloteaux, J. Lindblad, N. Sladoje, A. Walter, J. Chen, R. Dorent, A. Hering and M. Heinrich, "Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges",
arXiv:2509.01217,
2025.
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.
M. Eisenmann, A. Reinke, V. Weru, M. Tizabi, F. Isensee, T. Adler, P. Godau, V. Cheplygina, M. Kozubek, S. Ali, A. Gupta, J. Kybic, A. Noble, C. de Solórzano, S. Pachade, C. Petitjean, D. Sage, D. Wei, E. Wilden, D. Alapatt, V. Andrearczyk, U. Baid, S. Bakas, N. Balu, S. Bano, V. Bawa, J. Bernal, S. Bodenstedt, A. Casella, J. Choi, O. Commowick, M. Daum, A. Depeursinge, R. Dorent, J. Egger, H. Eichhorn, S. Engelhardt, M. Ganz, G. Girard, L. Hansen, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, H. Kim, B. Landman, H. Li, J. Li, J. Ma, A. Martel, C. Martín-Isla, B. Menze, C. Nwoye, V. Oreiller, N. Padoy, S. Pati, K. Payette, C. Sudre, K. van Wijnen, A. Vardazaryan, T. Vercauteren, M. Wagner, C. Wang, M. Yap, Z. Yu, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, R. Bao, C. Choi, A. Cohen, O. Dzyubachyk, A. Galdran, T. Gan, T. Guo, P. Gupta, M. Haithami, E. Ho, I. Jang, Z. Li, Z. Luo, F. Lux, S. Makrogiannis, D. Müller, Y. Oh, S. Pang, C. Pape, G. Polat, C. Reed, K. Ryu, T. Scherr, V. Thambawita, H. Wang, X. Wang, K. Xu, H. Yeh, D. Yeo, Y. Yuan, Y. Zeng, X. Zhao, J. Abbing, J. Adam, N. Adluru, N. Agethen, S. Ahmed, Y. Khalil, M. Alenyà, E. Alhoniemi, C. An, T. Anwar, T. Arega, N. Avisdris, D. Aydogan, Y. Bai, M. Calisto, B. Basaran, M. Beetz, C. Bian, H. Bian, K. Blansit, L. Bloch, R. Bohnsack, S. Bosticardo, J. Breen, M. Brudfors, R. Brüngel, M. Cabezas, A. Cacciola, Z. Chen, Y. Chen, D. Chen, M. Cho, M. Choi, C. Xie, D. Cobzas, J. Cohen-Adad, J. Acero, S. Das, M. de Oliveira, H. Deng, G. Dong, L. Doorenbos, C. Efird, S. Escalera, D. Fan, M. Serj, A. Fenneteau, L. Fidon, P. Filipiak, R. Finzel, N. Freitas, C. Friedrich, M. Fulton, F. Gaida, F. Galati, C. Galazis, C. Gan, Z. Gao, S. Gao, M. Gazda, B. Gerats, N. Getty, A. Gibicar, R. Gifford, S. Gohil, M. Grammatikopoulou, D. Grzech, O. Güley, T. Günnemann, C. Guo, S. Guy, H. Ha, L. Han, I. Han, A. Hatamizadeh, T. He, J. Heo, S. Hitziger, S. Hong, S. Hong, R. Huang, Z. Huang, M. Huellebrand, S. Huschauer, M. Hussain, T. Inubushi, E. Polat, M. Jafaritadi, S. Jeong, B. Jian, Y. Jiang, Z. Jiang, Y. Jin, S. Joshi, A. Kadkhodamohammadi, R. Kamraoui, I. Kang, J. Kang, D. Karimi, A. Khademi, M. Khan, S. Khan, R. Khantwal, K. Kim, T. Kline, S. Kondo, E. Kontio, A. Krenzer, A. Kroviakov, H. Kuijf, S. Kumar, F. La Rosa, A. Lad, D. Lee, M. Lee, C. Lena, H. Li, L. Li, X. Li, F. Liao, K. Liao, A. Oliveira, C. Lin, S. Lin, A. Linardos, M. Linguraru, H. Liu, T. Liu, D. Liu, Y. Liu, J. Lourenço-Silva, J. Lu, J. Lu, I. Luengo, C. Lund, H. Luu, Y. Lv, Y. Lv, U. Macar, L. Maechler, S. L., K. Marshall, M. Mazher, R. McKinley, A. Medela, F. Meissen, M. Meng, D. Miller, S. Mirjahanmardi, A. Mishra, S. Mitha, H. Mohy-ud-Din, T. Mok, G. Murugesan, E. Karthik, S. Nalawade, J. Nalepa, M. Naser, R. Nateghi, H. Naveed, Q. Nguyen, C. Quoc, B. Nichyporuk, B. Oliveira, D. Owen, J. Pal, J. Pan, W. Pan, W. Pang, B. Park, V. Pawar, K. Pawar, M. Peven, L. Philipp, T. Pieciak, S. Plotka, M. Plutat, F. Pourakpour, D. Preloznik, K. Punithakumar, A. Qayyum, S. Queirós, A. Rahmim, S. Razavi, J. Ren, M. Rezaei, J. Rico, Z. Rieu, M. Rink, J. Roth, Y. Ruiz-Gonzalez, N. Saeed, A. Saha, M. Salem, R. Sanchez-Matilla, K. Schilling, W. Shao, Z. Shen, R. Shi, P. Shi, D. Sobotka, T. Soulier, B. Fadida, D. Stoyanov, T. Mun, X. Sun, R. Tao, F. Thaler, A. Théberge, F. Thielke, H. Torres, K. Wahid, J. Wang, Y. Wang, W. Wang, X. Wang, J. Wen, N. Wen, M. Wodzinski, Y. Wu, F. Xia, T. Xiang, C. Xiaofei, L. Xu, T. Xue, Y. Yang, L. Yang, K. Yao, H. Yao, A. Yazdani, M. Yip, H. Yoo, F. Yousefirizi, S. Yu, L. Yu, J. Zamora, R. Zeineldin, D. Zeng, J. Zhang, B. Zhang, J. Zhang, F. Zhang, H. Zhang, Z. Zhao, Z. Zhao, J. Zhao, C. Zhao, Q. Zheng, Y. Zhi, Z. Zhou, B. Zou, K. Maier-Hein, P. Jäger, A. Kopp-Schneider and L. Maier-Hein, "Biomedical image analysis competitions: The state of current participation practice",
arXiv:2212.08568,
2022.
J. Tagscherer, S. de Boer, L. Philipp, F. van der Graaf, D. Peeters, J. Bosma, L. Leijten, B. Obreja, E. Smit and A. Hering, "EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging",
2026.
A. Billis, A. Hering, L. Jiang, C. Meyer, L. Adams, R. Cuocolo, A. Löser, J. Nawabi and K. Bressem, "Computational Models for Patient Stratification in Urologic Cancers - Creating Robust and Trustworthy Multimodal AI for Health Care",
2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS),
2025:121-122.
A. Jiménez-Sánchez, N. Avlona, S. de Boer, V. Campello, A. Feragen, E. Ferrante, M. Ganz, J. Gichoya, C. González, S. Groefsema, A. Hering, A. Hulman, L. Joskowicz, D. Juodelyte, M. Kandemir, T. Kooi, J. Lérida, L. Li, A. Pacheco, T. Rädsch, M. Reyes, T. Sourget, B. van Ginneken, D. Wen, N. Weng, J. Xu, H. Zając, M. Zuluaga and V. Cheplygina, "In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review",
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency,
2025.
X. Pham, M. Prokop, B. van Ginneken and A. Hering, "Divide to conquer: a field decomposition approach for multi-organ whole-body CT image registration",
Medical Imaging 2025: Image Processing,
2025:48.
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.
N. Frohwitter, A. Hering, R. Möller and M. Hartwig, "Evaluating the Effects of a Priori Deep Learning Image Synthesis on Multi-Modal MR-to-CT Image Registration Performance",
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies,
2023.
M. Eisenmann, A. Reinke, V. Weru, M. Tizabi, F. Isensee, T. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid, S. Bakas, N. Balu, S. Bano, J. Bernal, S. Bodenstedt, A. Casella, V. Cheplygina, M. Daum, M. De Bruijne, A. Depeursinge, R. Dorent, J. Egger, D. Ellis, S. Engelhardt, M. Ganz, N. Ghatwary, G. Girard, P. Godau, A. Gupta, L. Hansen, K. Harada, M. Heinrich, N. Heller, A. Hering, A. Huaulmé, P. Jannin, A. Kavur, O. Kodym, M. Kozubek, J. Li, H. Li, J. Ma, C. Martín-Isla, B. Menze, A. Noble, V. Oreiller, N. Padoy, S. Pati, K. Payette, T. Rädsch, J. Rafael-Patiño, V. Bawa, S. Speidel, C. Sudre, K. Van Wijnen, M. Wagner, D. Wei, A. Yamlahi, M. Yap, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, D. Aydogan, B. Bhattarai, L. Bloch, R. Brüngel, J. Cho, C. Choi, Q. Dou, I. Ezhov, C. Friedrich, C. Fuller, R. Gaire, A. Galdran, Á. Faura, M. Grammatikopoulou, S. Hong, M. Jahanifar, I. Jang, A. Kadkhodamohammadi, I. Kang, F. Kofler, S. Kondo, H. Kuijf, M. Li, M. Luu, T. Martinčič, P. Morais, M. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, E. Puybareau, N. Rajpoot, K. Ryu, N. Saeed, A. Shephard, P. Shi, D. Stepec, R. Subedi, G. Tochon, H. Torres, H. Urien, J. Vilaça, K. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, B. Wiestler, M. Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, K. Maier-Hein, P. Jäger, A. Kopp-Schneider and L. Maier-Hein, "Why is the Winner the Best?",
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
2023.
A. Hering, F. Peisen, T. Amaral, S. Gatidis, T. Eigentler, A. Othman and J. Moltz, "Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies",
Medical Imaging with Deep Learning,
2021.
S. Häger, S. Heldmann, A. Hering, S. Kuckertz and A. Lange, "Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge",
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data. MICCAI 2020,
2021;12587:74-79.
B. Lassen-Schmidt, A. Hering, S. Krass and H. Meine, "Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function",
Medical Imaging with Deep Learning,
2020.
A. Hering and S. Heldmann, "mlVIRNET: Improved Deep Learning Registration Using a Coarse to Fine Approach to Capture all Levels of Motion",
Bildverarbeitung für die Medizin,
2020:175.
A. Hering, B. van Ginneken and S. Heldmann, "mlVIRNET: Multilevel Variational Image Registration Network",
Medical Image Computing and Computer-Assisted Intervention,
2019;11769:257-265.
H. Häntze, M. Buser, A. Hering, L. Adams and K. Bressem, "Sex-Based Bias Inherent in the Dice Similarity Coefficient: A Model Independent Analysis for Multiple Anatomical Structures",
Lecture Notes in Computer Science,
2025:125-134.
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.
L. Canalini, J. Klein, A. Gerken, S. Heldmann, A. Hering and H. Hahn, "Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context",
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries,
2023:262-272.
A. Hering, A. Lange, S. Heldmann, S. Häger and S. Kuckertz, "Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge",
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis,
2022:147-152.
A. Hering, S. Kuckertz, S. Heldmann and M. Heinrich, "Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking",
Informatik aktuell,
2019:309-314.