Alessa Hering

According to our database, Alessa Hering authored at least 48 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis.

Niels Rocholl, Ewoud J. Smit, Mathias Prokop, Alessa Hering

CoRR, July, 2025

Beyond the LUMIR challenge: The pathway to foundational registration models.

Junyu Chen, Shuwen Wei, Joel Honkamaa, Pekka Marttinen, Hang Zhang, Min Liu, Yichao Zhou, Zuopeng Tan, Zhuoyuan Wang, Yi Wang, Hongchao Zhou, Shunbo Hu, Yi Zhang, Qian Tao, Lukas Förner, Thomas Wendler, Bailiang Jian, Benedikt Wiestler, Tim Hable, Jin Kim, Dan Ruan, Frederic Madesta, Thilo Sentker, Wiebke Heyer, Lianrui Zuo, Yuwei Dai, Jing Wu, Jerry L. Prince, Harrison X. Bai, Yong Du, Yihao Liu, Alessa Hering, Reuben Dorent, Lasse Hansen, Mattias P. Heinrich, Aaron Carass

CoRR, May, 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, May, 2025

OncoReg: Medical Image Registration for Oncological Challenges.

Wiebke Heyer, Yannic Elser, Lennart Berkel, Xinrui Song, Xuanang Xu, Pingkun Yan, Xi Jia, Jinming Duan, Zi Li, Tony C. W. Mok, Bowen Li, Christian Staackmann, Christoph Großbröhmer, Lasse Hansen, Alessa Hering, Malte M. Sieren, Mattias P. Heinrich

CoRR, March, 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, March, 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, Joey Spronck, Megan Schuurmans, Bram De Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, Quintin van Lohuizen, Michelle Stegeman, Karlijn Rutten, Inge M. E. Smit, Gijs Stultiens, Christiaan G. Overduin, M. J. C. M. Rutten, Ernst Th. Scholten, Rachel S. van der Post, Katrien Grunberg, Shoko Vos, Elise M. G. Taken, Iris D. Nagtegaal, Anne Mickan, Miriam Groeneveld, Paul K. Gerke, James A. Meakin, Monika Looijen-Salamon, Tijmen L. M. de Haas, Fabian Hoitsma, Marina D'Amato

npj Digit. Medicine, 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

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, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, Andre Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

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, Konstantin Nikolaou, Ahmed E. Othman, Jan Hendrik Moltz, Felix Peisen

Int. J. Comput. Assist. Radiol. Surg., September, 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

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

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

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

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

Proceedings of the Biomedical Image Registration - 11th International Workshop, 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

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Evaluating ChatGPT's Performance in Generating and Assessing Dutch Radiology Report Impressions.

Luc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Joint Learning of Image Registration and Change Detection for Lung CT Images.

Temke Kohlbrandt, Jan Hendrik Moltz, Stefan Heldmann, Alessa Hering, Jan Lellmann

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

The ULS23 Challenge Public Training Dataset Part 5.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset Part 6.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset Part 5.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset Part 4.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset Part 3.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset Part 2.

Max De Grauw, Bram van Ginneken, Alessa Hering

Dataset, October, 2023

The ULS23 Challenge Public Training Dataset.

Max De Grauw, Natália Alves, Megan Schuurmans, Henkjan Huisman, Bram van Ginneken, Alessa Hering

Dataset, October, 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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, Mattis Hartwig

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru

Medical Image Anal., 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, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.

CoRR, 2022

Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context.

Luca Canalini, Jan Klein, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

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

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, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 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

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge.

Alessa Hering, Annkristin Lange, Stefan Heldmann, Stephanie Häger, Sven Kuckertz

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

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

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

Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge.

Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Abstract: mlVIRNET.

Alessa Hering, Stefan Heldmann

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor.

Hans Meine, Alessa Hering

CoRR, 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

Unsupervised learning for large motion thoracic CT follow-up registration.

Alessa Hering, Stefan Heldmann

Proceedings of the Medical Imaging 2019: Image Processing, 2019

mlVIRNET: Multilevel Variational Image Registration Network.

Alessa Hering, Bram van Ginneken, Stefan Heldmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019