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.
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. 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.
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. Benetti, M. Wodzinski, N. Gunnarsson, J. Sjolund, D. Grzech, H. Qiu, Z. Li, A. Thorley, J. Duan, C. Grossbrohmer, 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",
arXiv preprint arXiv:2112.04489,
2021.
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.
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.
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.
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, 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",
Bildverarbeitung für die Medizin,
2019:309-314.
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.
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.