Dr. Hans Meine

  • Senior Research Scientist
  • Computer Scientist



Chlebus G, Schenk A, Hahn HK, Van Ginneken B, Meine H (2022) Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow. IEEE Access 10:4728–4738


Meyer A, Chlebus G, Rak M, Schindele D, Schostak M, van Ginneken B, Schenk A, Meine H, Hahn HK, Schreiber A, Hansen C (2021) Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Comput Methods Programs Biomed 200:105821
Nitsch J, Sack J, Halle MW, Moltz JH, Wall A, Rutherford AE, Kikinis R, Meine H (2021) MRI-based radiomic feature analysis of end-stage liver disease for severity stratification. Int J CARS 16(3):457–466


Izadpanah K, Meine H, Kubosch J, Lang G, Fuchs A, Maier D, Ogon P, Südkamp NP, Feucht MJ (2020) Fluoroscopic guided tunnel placement during medial patellofemoral ligament reconstruction is not accurate in patients with severe trochlear dysplasia. Knee Surg Sports Traumatol Arthrosc 28(3):759–766
Klein J, Wenzel M, Romberg D, Köhn A, Kohlmann P, Link F, Hänsch A, Dicken V, Stein R, Haase J, Schreiber A, Hahn H, Meine H (2020) QuantMed: Component-based DL platform for translational research. Proceedings of SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications. 113180U:pp 1–8
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


Bilic P, Christ PF, Vorontsov E, Chlebus G, Chen H, Dou Q, Fu C-W, Han X, Heng P-A, Hesser J, Kadoury S, Konopczynski T, Le M, Li C, Li X, Lipkovà J, Lowengrub J, Meine H, Moltz JH, Pal C, Piraud M, Qi X, Qi J, Rempfler M, Roth K, Schenk A, Sekuboyina A, Vorontsov E, Zhou P, Hülsemeyer C, Beetz M, Ettlinger F, Gruen F, Kaissis G, Lohöfer F, Braren R, Holch J, Hofmann F, Sommer W, Heinemann V, Jacobs C, Mamani GEH, van Ginneken B, Chartrand G, Tang A, Drozdzal M, Ben-Cohen A, Klang E, Amitai MM, Konen E, Greenspan H, Moreau J, Hostettler A, Soler L, Vivanti R, Szeskin A, Lev-Cohain N, Sosna J, Joskowicz L, Menze BH (2019) The Liver Tumor Segmentation Benchmark (LiTS). arXiv:1901.04056
Chlebus G, Meine H, Thoduka S, Abolmaali N, van Ginneken B, Hahn HK, Schenk A (2019) Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections. PLoS ONE 14(5):e0217228
Chlebus G, Abolmaali N, Schenk A, Meine H (2019) Relevance analysis of MRI sequences for automatic liver tumor segmentation. Proceedings of Medical Imaging with Deep Learning (MIDL 2019). pp 1–4
Lange T, Taghizadeh E, Knowles BR, Südkamp NP, Zaitsev M, Meine H, Izadpanah K (2019) Quantification of patellofemoral cartilage deformation and contact area changes in response to static loading via high‐resolution MRI with prospective motion correction. J Magn Reson Imaging 50(5):1561–1570
Mayr M, Tayfun Y, Bode G, Meine H, Georgii J, Südkamp N, Izadpanah K (2019) In vivo Kinematik von Knorpel- und Meniskuskontaktflächen des Kniegelenks unter Last. Proc. of GOTS
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
Nitsch J, Klein J, Dammann D, Wrede K, Gembruch O, Moltz J, Meine H, Sure U, Kikinis R, Miller D (2019) Automatic and Efficient MRI-US Segmentations for Improving Intraoperative Image Fusion in Image-Guided Neurosurgery. Neuroimage Clin 22:101766
Nitsch J, Klein J, Moltz JH, Miller D, Sure U, Kikinis R, Meine H (2019) Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery. Proceedings of SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling. 109511N:pp 1–7


Chlebus G, Schenk A, Moltz JH, van Ginneken B, Hahn HK, Meine H (2018) Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing. Sci Rep 8:15497
Chlebus G, Meine H, Abolmaali N, Schenk A (2018) Automatic Liver and Tumor Segmentation in Late-Phase MRI Using Fully Convolutional Neural Networks. Proceedings of CURAC. pp 195–200
Haensch A, Dicken V, Gass T, Morgas T, Klein J, Meine H, Hahn HK (2018) Deep learning based segmentation of organs of the female pelvis in CBCT scans for adaptive radiotherapy using CT and CBCT data. Proceedings of the 32nd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS). pp 179–180
Hänsch A, Gass T, Morgas T, Haas B, Meine H, Klein J, Hahn HK (2018) Parotid gland segmentation with deep learning using clinical vs. curated training data. Radiotherapy and Oncology: Proceedings of ESTRO 37. pp S281–S282
Hänsch A, Schwier M, Gass T, Morgas T, Haas B, Dicken V, Meine H, Klein J, Hahn HK (2018) Evaluation of deep learning methods for parotid gland segmentation from CT images. J Med Imag 6(1):011005
Schenk A, Chlebus G, Meine H, Thoduka S, Abolmaali N (2018) Deep learning for liver segmentation and volumetry in late phase MRI. Proceedings of European Congress on Radiology (ECR). Springer, S474


Chlebus G, Meine H, Moltz JH, Schenk A (2017) Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering. arXiv:1706.00842
Chlebus G, Schenk A, Thoduka S, Abolmaali N, Endo I, Meine H (2017) Comparison of Model Initialization Methods for Liver Segmentation using Statistical Shape Models. International Journal of Computer Assisted Radiology and Surgery. pp 215–216
Haensch A, Harz M, Schenk A, Endo I, Jacobs C, Hahn HK, Meine H (2017) Examining the robustness of liver segmentation using deep learning and unsupervised pre-training of a feature extractor. International Journal of Computer Assisted Radiology and Surgery. Springer International Publishing, pp 23–24


Derksen A, König L, Meine H, Heldmann S (2016) A Joint Registration and Segmentation Approach for Large Bladder Deformations in Adaptive Radiotherapy. Medical Physics: Proceedings of the AAPM 58th annual meeting, Washington, DC. American Association of Physicists in Medicine, 3429
Meine H, Izadpanah K, Lange T (2016) Image Processing Pipeline for MRI-based In-vivo Cartilage Assessment under Load. In: Lemke H (ed) Computer Assisted Radiology and Surgery (CARS) 2016: Proceedings of the 30th Congress and Exhibition. Springer, S51+
Wang L, Chitiboi T, Meine H, Günther M, Hahn HK (2016) Principles and methods for automatic and semi-automatic tissue segmentation in MRI data. Magn Reson Mater Phy 29(2):95–110


Rühaak J, Derksen A, Heldmann S, Hallmann M, Meine H (2015) Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. Proceedings of SPIE Medical Imaging: Image Processing. 941337:pp 1–7
Vicari M, Heldmann S, Meine H, Hug F, Hennig J, Iblher N (2015) Quantitative Assessments of Facial Soft-Tissue Mobility by means of Watershed Segmentation and Constrained Elastic Registration in Upright Accelerated 3D MRI. Proceedings of the 23rd Annual Meeting ISMRM. 4204


Chen L, Hallmann M, Barrios Romero D, Wang L, Astrom M, Ryzhkov M, Nijlunsing R, Meine H (2014) Combining tubular tracking and skeletonization for fully-automatic and accurate lead localization in CT images. Proc. Computer Assisted Radiology and Surgery – Neurosurgery and ENT Surgery. pp 195–196
Demedts D, Hennemuth A, Meine H, Ojdanic D (2014) Web-based interactive visualization and assessment of medical images for clinical trials. Proc. Computer Assisted Radiology and Surgery – Display and Visualization. pp S85–S86
Heckel F, Meine H, Moltz JH, Kuhnigk J-M, Heverhagen JT, Kießling A, Buerke B, Hahn HK (2014) Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT. IEEE Trans Med Imaging 33(2):462–480
Heckel F, Moltz JH, Meine H, Geisler B, Kießling A, D'Anastasi M, Pinto dos Santos D, Theruvath AJ, Hahn HK (2014) On the Evaluation of Segmentation Editing Tools. SPIE J Med Imag 1(3):034005: 1–17
Rudyanto RD, Kerkstra S, van Rikxoort EM, Fetita C, Brillet PY, Lefevre C, Xue W, Zhu X, Liang J, Oksüz I, Unay D, Kadipaşaoğlu K, Estépar RS, Ross JC, Washko GR, Prieto JC, Hoyos MH, Orkisz M, Meine H, Hüllebrand M, Stöcker C, Mir FL, Naranjo V, Villanueva E, Staring M, Xiao C, Stoel BC, Fabijanska A, Smistad E, Elster AC, Lindseth F, Foruzan AH, Kiros R, Popuri K, Cobzas D, Jimenez-Carretero D, Santos A, Ledesma-Carbayo MJ, Helmberger M, Urschler M, Pienn M, Bosboom DG, Campo A, Prokop M, de Jong PA, Ortiz-de-Solorzano C, Muñoz-Barrutia A, van Ginneken B (2014) Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Med Image Anal 18(7):1217–1232