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- 2024
-
Mark
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
2024) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
-
Mark
Retrospective evaluation of the predictive value of tumour burden at baseline [
68 Ga]Ga-DOTA-TOC or -TATE PET/CT and tumour dosimetry in GEP-NET patients treated with PRRT.
(
- Contribution to journal › Article
-
Mark
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
(
- Contribution to journal › Article
-
Mark
Artificial Intelligence-Based Organ Delineation for Radiation Treatment Planning of Prostate Cancer on Computed Tomography
(
- Contribution to journal › Article
- 2023
-
Mark
AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT
(
- Contribution to journal › Article
-
Mark
Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
2023) In Seminars in Nuclear Medicine(
- Contribution to journal › Article
- 2022
-
Mark
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
(
- Contribution to journal › Article
-
Mark
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer
(
- Contribution to journal › Article
-
Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
-
Mark
Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
(
- Contribution to journal › Article
- 2021
-
Mark
Artificial intelligence-aided CT segmentation for body composition analysis : a validation study
(
- Contribution to journal › Article
-
Mark
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
(
- Contribution to journal › Article
-
Mark
Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based measurements of PET/CT imaging biomarkers are associated with disease-specific survival of high-risk prostate cancer patients
(
- Contribution to journal › Article
- 2020
-
Mark
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach
(
- Contribution to journal › Article
-
Mark
Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer
(
- Contribution to journal › Published meeting abstract
-
Mark
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
(
- Contribution to journal › Article
-
Mark
Auto-segmentations by convolutional neural network in cervical and anorectal cancer with clinical structure sets as the ground truth
(
- Contribution to journal › Article
-
Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
(
- Contribution to journal › Article
- 2019
-
Mark
Shape-aware label fusion for multi-atlas frameworks
(
- Contribution to journal › Article
-
Mark
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas
(
- Contribution to journal › Article
-
Mark
Deep learning for segmentation of 49 selected bones in CT scans : First step in automated PET/CT-based 3D quantification of skeletal metastases
(
- Contribution to journal › Article
-
Mark
Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland : a method comparison study
(
- Contribution to journal › Article
- 2017
-
Mark
City-Scale Localization for Cameras with Known Vertical Direction
(
- Contribution to journal › Article
-
Mark
Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development
(
- Contribution to journal › Article
-
Mark
Automated evaluation of normal uptake in different skeletal parts in 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method
(
- Contribution to conference › Abstract
-
Mark
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
(
- Contribution to journal › Article
-
Mark
Association of PET index quantifying skeletal uptake in NaF PET/CT images with overall survival in prostate cancer patients
2017) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 35(6 Suppl). p.178-178(
- Contribution to journal › Published meeting abstract
- 2016
-
Mark
Überatlas : Fast and robust registration for multi-atlas segmentation
(
- Contribution to journal › Article
-
Mark
Visual Analysis of Zebrafish Behavior
2016) 2016 23rd International Conference on Pattern Recognition (ICPR 2016)(
- Contribution to conference › Paper, not in proceeding
-
Mark
Efficient algorithms for robust estimation of relative translation
(
- Contribution to journal › Article
-
Mark
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography
(
- Contribution to journal › Article
- 2015
-
Mark
A Combinatorial Approach to $L_1$-Matrix Factorization
(
- Contribution to journal › Article
-
Mark
Tractable Algorithms for Robust Model Estimation
(
- Contribution to journal › Article
-
Mark
Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2014
-
Mark
Fast and Reliable Two-View Translation Estimation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Accurate Localization and Pose Estimation for Large 3D Models
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Tractable and Reliable Registration of 2D Point Sets
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Rat Paw Tracking for Detailed Motion Analysis
2014) Visual observation and analysis of Vertebrate And Insect Behavior 2014(
- Contribution to conference › Paper, not in proceeding
- 2013
-
Mark
Optimal Geometric Fitting Under the Truncated L-2-Norm
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Improved Object Detection and Pose Using Part-Based Models
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2012
-
Mark
Robust Fitting for Multiple View Geometry
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Point Track Creation in Unordered Image Collections Using Gomory-Hu Trees
2012) 21st International Conference on Pattern Recognition Applications and Methods (IPCRAM 2012) p.2116-2119(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A system for automated tracking of motor components in neurophysiological research
(
- Contribution to journal › Article
- 2011
-
Mark
Robust Algorithms for Multiple View Geometry: Outliers and Optimality
2011)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Stable Structure from Motion for Unordered Image Collections
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A Brute-Force Algorithm for Reconstructing a Scene from Two Projections
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Tracking and Reconstruction of Vehicles for Accurate Position Estimation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Non-Sequential Structure from Motion
2011) 11th Workshop on Omnidirectional Vision, Camera Networks and Non-Classical Cameras (OMNIVIS 2011)(
- Contribution to conference › Paper, not in proceeding
-
Mark
A system for automated hand pose estimation in neurophysiological research
2011) Annual Meeting of Society for Neuroscience 2011(Neuroscience 2011)(
- Contribution to conference › Abstract
- 2010
-
Mark
Global Optimization for One-Dimensional Structure and Motion Problems
(
- Contribution to journal › Article
- 2009
-
Mark
Optimal Correspondences from Pairwise Constraints
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2008
-
Mark
Robust Optimal Pose Estimation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A polynomial-time bound for matching and registration with outliers
2008) IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 2008 p.3230-3237(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2007
-
Mark
An L-infinity Approach to Structure and Motion Problems in 1D-Vision
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic feature point correspondences and shape analysis with missing data and outliers using MDL
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding