Jan Hendrik Moltz

According to our database1, Jan Hendrik Moltz authored at least 31 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.
Int. J. Comput. Assist. Radiol. Surg., September, 2024

Joint Learning of Image Registration and Change Detection for Lung CT Images.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022

Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn).
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
CNN-based lung CT registration with multiple anatomical constraints.
Medical Image Anal., 2021

MRI-based radiomic feature analysis of end-stage liver disease for severity stratification.
Int. J. Comput. Assist. Radiol. Surg., 2021

Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Constraining Volume Change in Learned Image Registration for Lung CTs.
CoRR, 2020

Learning a Loss Function for Segmentation: A Feasibility Study.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Stability of radiomic features of liver lesions from manual delineation in CT scans.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2017
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering.
CoRR, 2017

2015
Building Blocks for Clinical Research in Adaptive Radiotherapy.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

2014
Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT.
IEEE Trans. Medical Imaging, 2014

2013
Lesion segmentation and tracking for CT-based chemotherapy monitoring.
PhD thesis, 2013

Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images.
Comput. Graph. Forum, 2013

Toward Automated Validation of Sketch-Based 3D Segmentation Editing Tools.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2012
DTI segmentation via the combined analysis of connectivity maps and tensor distances.
NeuroImage, 2012

A minimally interactive method to segment enlarged lymph nodes in 3D thoracic CT images using a rotatable spiral-scanning technique.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Object-based analysis of CT images for automatic detection and segmentation of hypodense liver lesions.
Int. J. Comput. Assist. Radiol. Surg., 2011

A novel adaptive scoring system for segmentation validation with multiple reference masks.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Analysis of variability in manual liver tumor delineation in CT scans.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2009
Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans.
IEEE J. Sel. Top. Signal Process., 2009

3D contour based local manual correction of tumor segmentations in CT scans.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

A General Framework for Automatic Detection of Matching Lesions in Follow-Up CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Segmentierung pleuraständiger Lungenrundherde in CT-Bildern mittels Ellipsoidapproximation.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

2006
Histogram-based orientation analysis for junctions.
Proceedings of the 14th European Signal Processing Conference, 2006


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