Histogram-based orientation analysis for junctions. - Jan Hendrik Moltz; Ingo Stuke; Til Aach (EUSIPCO, 2006)

Segmentierung pleuraständiger Lungenrundherde in CT-Bildern mittels Ellipsoidapproximation. - Jan Hendrik Moltz; Jan-Martin Kuhnigk; Lars Bornemann; Heinz-Otto Peitgen (Bildverarbeitung für die Medizin, 2008)

A General Framework for Automatic Detection of Matching Lesions in Follow-Up CT. - Jan Hendrik Moltz; Michael Schwier; Heinz-Otto Peitgen (ISBI, 2009)

3D contour based local manual correction of tumor segmentations in CT scans. - Frank Heckel; Jan Hendrik Moltz; Lars Bornemann; Volker Dicken; Hans-Christian Bauknecht; Michael Fabel; Markus Hittinger; Andreas Kießling 002; Stephan A. Meier; Michael Püsken; Heinz-Otto Peitgen (Image Processing, 2009)

Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans. - Jan Hendrik Moltz; Lars Bornemann; Jan-Martin Kuhnigk; Volker Dicken; Elena Peitgen; Stephan A. Meier; Hendrik Bolte; Michael Fabel; Hans-Christian Bauknecht; Markus Hittinger; Andreas Kießling 002; Michael Püsken; et al. (IEEE J. Sel. Top. Signal Process., 2009)

Analysis of variability in manual liver tumor delineation in CT scans. - Jan Hendrik Moltz; Stefan Braunewell; Jan Rühaak; Frank Heckel; Sebastiano Barbieri; Lennart Tautz; Horst K. Hahn; Heinz-Otto Peitgen (ISBI, 2011)

A novel adaptive scoring system for segmentation validation with multiple reference masks. - Jan Hendrik Moltz; Jan Rühaak; Horst K. Hahn; Heinz-Otto Peitgen (Image Processing, 2011)

Object-based analysis of CT images for automatic detection and segmentation of hypodense liver lesions. - Michael Schwier; Jan Hendrik Moltz; Heinz-Otto Peitgen (Int. J. Comput. Assist. Radiol. Surg., 2011)

A minimally interactive method to segment enlarged lymph nodes in 3D thoracic CT images using a rotatable spiral-scanning technique. - Lei Wang 025; Jan Hendrik Moltz; Lars Bornemann; Horst K. Hahn (Computer-Aided Diagnosis, 2012)

DTI segmentation via the combined analysis of connectivity maps and tensor distances. - Sebastiano Barbieri; Miriam H. A. Bauer; Jan Klein 001; Jan Hendrik Moltz; Christopher Nimsky; Horst K. Hahn (NeuroImage, 2012)

Toward Automated Validation of Sketch-Based 3D Segmentation Editing Tools. - Frank Heckel; Momchil I. Ivanov; Jan Hendrik Moltz; Horst K. Hahn (SCIA, 2013)

Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images. - Frank Heckel; Jan Hendrik Moltz; Christian Tietjen; Horst K. Hahn (Comput. Graph. Forum, 2013)

Lesion segmentation and tracking for CT-based chemotherapy monitoring. - Jan Hendrik Moltz (2013)

Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT. - Frank Heckel; Hans Meine; Jan Hendrik Moltz; Jan-Martin Kuhnigk; Johannes T. Heverhagen; Andreas Kießling 002; Boris Buerke; Horst K. Hahn (IEEE Trans. Medical Imaging, 2014)

Building Blocks for Clinical Research in Adaptive Radiotherapy. - Florian Weiler; Grzegorz Chlebus; Christian Rieder; Jan Hendrik Moltz; Ashley Waring; Christoph Brachmann; Nadine Traulsen; Dörte Corr; Stefan Wirtz; Stefan Krass; Horst K. Hahn (CURAC, 2015)

Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering. - Grzegorz Chlebus; Hans Meine; Jan Hendrik Moltz; Andrea Schenk (CoRR, 2017)

Stability of radiomic features of liver lesions from manual delineation in CT scans. - Jan Hendrik Moltz (Computer-Aided Diagnosis, 2019)

Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery. - Jennifer Nitsch; Jan Klein 001; Jan Hendrik Moltz; Dorothea Miller; Ulrich Sure; Ron Kikinis; Hans Meine (Image-Guided Procedures, 2019)

Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations. - Volker Dicken; Annika Hänsch; Jan Hendrik Moltz; Benjamin Haas; Thomas Coradi; Tomasz Morgas; Jan Klein 001 (Image Processing, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Learning a Loss Function for Segmentation: A Feasibility Study. - Jan Hendrik Moltz; Annika Hänsch; Bianca Lassen-Schmidt; Benjamin Haas; A. Genghi; J. Schreier; Tomasz Morgas; Jan Klein 001 (ISBI, 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)

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 (MIDL, 2021)

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification. - Jennifer Nitsch; Jordan Sack; Michael W. Halle; Jan Hendrik Moltz; April Wall; Anna E. Rutherford; Ron Kikinis; Hans Meine (Int. J. Comput. Assist. Radiol. Surg., 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)

Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). - Stephanie Häger; Annkristin Lange; Stefan Heldmann; Jan Modersitzki; Andreas Petersik; Manuel Schröder; Heiko Gottschling; Thomas Lieth; Erich Zähringer; Jan Hendrik Moltz (Bildverarbeitung für die Medizin, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations. - Sven Kuckertz; Stefan Heldmann; Jan Hendrik Moltz (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Joint Learning of Image Registration and Change Detection for Lung CT Images. - Temke Kohlbrandt; Jan Hendrik Moltz; Stefan Heldmann; Alessa Hering; Jan Lellmann (Bildverarbeitung für die Medizin, 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; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)

Inferring 3D finger bone shapes from 2D images - a detailed analysis of shape accuracy. - Anna Rörich; Annkristin Lange; Stefan Heldmann; Jan Hendrik Moltz; Lars Walczak; Sinef Yarar-Schlickewei; Felix Güttler; Joachim Georgii (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)