Dr. Alessa Hering, M.Sc. - Fraunhofer MEVIS

Publications

2023

Hering A, Hansen L, Mok TCW, Chung ACS, Siebert H, Hager S, Lange A, Kuckertz S, Heldmann S, Shao W, Vesal S, Rusu M, Sonn G, Estienne T, Vakalopoulou M, Han L, Huang Y, Yap P-T, Brudfors M, Balbastre Y, Joutard S, Modat M, Lifshitz G, Raviv D, Lv J, Li Q, Jaouen V, Visvikis D, Fourcade C, Rubeaux M, Pan W, Xu Z, Jian B, De Benetti F, Wodzinski M, Gunnarsson N, Sjolund J, Grzech D, Qiu H, Li Z, Thorley A, Duan J, Grosbrohmer C, Hoopes A, Reinertsen I, Xiao Y, Landman B, Huo Y, Murphy K, Lessmann N, van Ginneken B, Dalca AV, Heinrich MP (2023) Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans Med Imaging 42(3):697–712

Peisen F, Gerken A, Hering A, Dahm I, Nikolaou K, Gatidis S, Eigentler TK, Amaral T, Moltz JH, Othman AE (2023) 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 13(20):3210

2022

Hansen L, Hering A, Großbröhmer C, Heinrich MP (2022) Continuous benchmarking in medical image registration – review of the current state of the Learn2Reg challenge. International Conference on Medical Imaging with Deep Learning (MIDL 2022)

Hering A, Peisen F, Moltz J (2022) Towards more efficient tumor follow-up assessment using AI assistance. International Conference on Medical Imaging with Deep Learning (MIDL 2022)

Hering AD (2022) Deep-Learning-based Image Registration and Tumor Follow-Up Analysis. Ph.D. thesis

Peisen F, Hänsch A, Hering A, Brendlin AS, Afat S, Nikolaou K, Gatidis S, Eigentler T, Amaral T, Moltz JH, Othman AE (2022) Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy. Cancers 14(12):2992

Roth HR, Xu Z, Tor Diez C, Sanchez Jacob R, Zember J, Molto J, Li W, Xu S, Turkbey B, Turkbey E, Yang D, Harouni A, Rieke N, Hu S, Isensee F, Tang C, Yu Q, Sölter J, Zheng T, Liauchuk V, Zhou Z, Moltz JH, Oliveira B, Xia Y, Maier-Hein K, Li Q, Husch A, Zhang L, Kovalev V, Kang L, Hering A, Vilaça J, Flores M, Xu D, Wood B, Linguraru MG (2022) Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge. Med Image Anal 82:102605

2021

Hering A, Häger S, Moltz J, Lessmann N, Heldmann S, van Ginneken B (2021) CNN-based lung CT registration with multiple anatomical constraints. Med Image Anal 72:102139

Hering A, Peisen F, Amaral T, Gatidis S, Eigentler T, Othman A, Moltz JH (2021) Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies. Proceedings of Machine Learning Research (MIDL 2021). pp 312–326

2020

Lassen-Schmidt B, Hering A, Krass S, Meine H (2020) Automatic segmentation of the pulmonary lobes with a 3D u-net and optimized loss function. Medical Imaging with Deep Learning (MIDL 2020). arXiv:2006.00083v1

Sieren MM, Brenne F, Hering A, Kienapfel H, Gebauer N, Oechtering TH, Fürschke A, Wegner F, Stahlberg E, Heldmann S, Barkhausen J, Frydrychowicz A (2020) Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software. European Radiology 30:3198–3209

2019

Hering A, Heldmann S (2019) Unsupervised Learning for Large Motion Thoracic CT Follow-Up Registration. Proceedings of SPIE Medical Imaging: Image Processing. 109491B:pp 1–7

Hering A, Kuckertz S, Heldmann S, Heinrich MP (2019) Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking. Bildverarbeitung für die Medizin 2019. pp 309–314

Hering A, Kuckertz S, Heldmann S, Heinrich MP (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. Int J CARS 14(11):1901–1912

Hering A, van Ginneken B, Heldmann S (2019) mlVIRNET: Multilevel Variational Image Registration Network. In: Shen D, Liu T, Peters TM, Staib LH, Essert C, Zhou S, Yap P-T, Khan A (eds) Proceeding of Medical Image Computing and Computer Assisted Intervention. LNCS 11769, pp 257–265

Meine H, Hering A (2019) Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor. Proceedings of Medical Imaging with Deep Learning (MIDL 2019). pp 1–4