Alexander Schlaefer

Orcid: 0000-0001-9201-8854

Affiliations:
  • Hamburg-Harburg University of Technology, Institute of Medical Technology


According to our database1, Alexander Schlaefer authored at least 155 papers between 2000 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025

2024
Needle tracking in low-resolution ultrasound volumes using deep learning.
Int. J. Comput. Assist. Radiol. Surg., October, 2024

PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM.
Int. J. Comput. Assist. Radiol. Surg., October, 2024

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg., September, 2024

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.
IEEE Trans. Medical Imaging, August, 2024

Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

Sliced Online Model Checking for Optimizing the Beam Scheduling Problem in Robotic Radiation Therapy.
Proceedings of the Proceedings Sixth Workshop on Models for Formal Analysis of Real Systems, 2024

A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning.
CoRR, 2024

Artifact: End-to-End Multi-Modal Tiny-CNN for Cardiovascular Monitoring on Sensor Patches.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

End-to-End Multi-Modal Tiny-CNN for Cardiovascular Monitoring on Sensor Patches.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography?
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Modified da Vinci Surgical Instrument for Optical Coherence Elastography with Deep Learning.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023
A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography.
IEEE Trans. Biomed. Eng., November, 2023

Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy.
IEEE Trans. Biomed. Eng., September, 2023

Squeeze and multi-context attention for polyp segmentation.
Int. J. Imaging Syst. Technol., January, 2023

Bayesian Reconstruction Algorithms for Low-Dose Computed Tomography Are Not Yet Suitable in Clinical Context.
J. Imaging, 2023

Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs.
CoRR, 2023

VR-based body tracking to stimulate musculoskeletal training.
CoRR, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Medical Imaging with Deep Learning, 2023

Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning.
IEEE Trans. Biomed. Eng., 2022

Posterior temperature optimized Bayesian models for inverse problems in medical imaging.
Medical Image Anal., 2022

Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs.
CoRR, 2022

Modeling R<sup>3</sup> Needle Steering in Uppaal.
Proceedings of the Proceedings Fifth Workshop on Models for Formal Analysis of Real Systems, 2022

Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses.
CoRR, 2022

Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking.
Int. J. Comput. Assist. Radiol. Surg., 2022

AI-based optimization for US-guided radiation therapy of the prostate.
Int. J. Comput. Assist. Radiol. Surg., 2022

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised U-Net for segmenting flat and sessile polyps.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion.
Proceedings of the Haptics: Science, Technology, Applications, 2022

2021
Rupture Detection During Needle Insertion Using Complex OCT Data and CNNs.
IEEE Trans. Biomed. Eng., 2021

Online Strategy Synthesis for Safe and Optimized Control of Steerable Needles.
Proceedings of the Proceedings Third Workshop on Formal Methods for Autonomous Systems, 2021

A novel optical needle probe for deep learning-based tissue elasticity characterization.
CoRR, 2021

Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning.
CoRR, 2021

3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI.
CoRR, 2021

Posterior Temperature Optimization in Variational Inference.
CoRR, 2021

4D deep learning for real-time volumetric optical coherence elastography.
Int. J. Comput. Assist. Radiol. Surg., 2021

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.
Int. J. Comput. Assist. Radiol. Surg., 2021

Capsule networks for segmentation of small intravascular ultrasound image datasets.
Int. J. Comput. Assist. Radiol. Surg., 2021

In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Automated Robotic Surface Scanning With Optical Coherence Tomography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.
IEEE Trans. Biomed. Eng., 2020

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography.
Sensors, 2020

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation.
Medical Image Anal., 2020

4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes.
CoRR, 2020

Synthesizing Strategies for Needle Steering in Gelatin Phantoms.
Proceedings of the 4th Workshop on Models for Formal Analysis of Real Systems, 2020

4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification.
CoRR, 2020

A Deep Learning Approach for Motion Forecasting Using 4D OCT Data.
CoRR, 2020

4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation.
CoRR, 2020

Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs.
CoRR, 2020

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs.
Comput. Medical Imaging Graph., 2020

Needle tip force estimation by deep learning from raw spectral OCT data.
Int. J. Comput. Assist. Radiol. Surg., 2020

Spatio-temporal deep learning methods for motion estimation using 4D OCT image data.
Int. J. Comput. Assist. Radiol. Surg., 2020

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.
Int. J. Comput. Assist. Radiol. Surg., 2020

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Learning for High Speed Optical Coherence Elastography.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2019

Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data.
CoRR, 2019

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels.
CoRR, 2019

Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation.
CoRR, 2019

Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods.
CoRR, 2019

Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery.
CoRR, 2019

Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy.
Int. J. Comput. Assist. Radiol. Surg., 2019

Spatio-temporal deep learning models for tip force estimation during needle insertion.
Int. J. Comput. Assist. Radiol. Surg., 2019

Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.
Int. J. Comput. Assist. Radiol. Surg., 2019

Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Feasibility of a markerless tracking system based on optical coherence tomography.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Needle Tip Force Sensor for Medical Applications.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Optimizing Configurations for 7-DoF Robotic Ultrasound Guidance in Radiotherapy of the Prostate.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Towards OCT-Navigated Tissue Ablation with a Picosecond Infrared Laser (PIRL) and Mass-Spectrometric Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018
A deep learning approach for pose estimation from volumetric OCT data.
Medical Image Anal., 2018

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting.
CoRR, 2018

Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks.
CoRR, 2018

Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification.
CoRR, 2018

Design and implementation of a wireless instrument adapter.
CoRR, 2018

Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning.
CoRR, 2018

Force estimation from OCT volumes using 3D CNNs.
Int. J. Comput. Assist. Radiol. Surg., 2018

Model checking for trigger loss detection during Doppler ultrasound-guided fetal cardiovascular MRI.
Int. J. Comput. Assist. Radiol. Surg., 2018

Ein Ansatz zur nachvollziehbaren Verifikation medizinisch-cyber-physikalischer Systeme.
Proceedings of the Software Engineering und Software Management 2018, 2018

Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Quantitative Metric Temporal Logic for Execution-Time Constrained Verification.
Proceedings of the Cyber Physical Systems. Model-Based Design - 8th International Workshop, 2018

2017
Detection and Compensation of Periodic Motion in Magnetic Particle Imaging.
IEEE Trans. Medical Imaging, 2017

Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality.
Int. J. Comput. Assist. Radiol. Surg., 2017

FS-MCPS 2017 - 3rd Workshop on Fail Safety in Medical Cyber-Physical Systems.
Proceedings of the Software Engineering 2017, 2017

An Approach for Needle Based Optical Coherence Elastography Measurements.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Optical coherence tomography based 1D to 6D eye-in-hand calibration.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Online model checking for monitoring surrogate-based respiratory motion tracking in radiation therapy.
Int. J. Comput. Assist. Radiol. Surg., 2016

FS-MCPS: 2nd workshop on fail safety in medical cyber-physical systems.
Proceedings of the Software Engineering 2016, 2016

2nd Workshop on Fail Safety in Medical Cyber-Physical Systems (FS-MCPS).
Proceedings of the Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016), 2016

Reducing False Discovery Rates for On-line Model Checking Based Detection of Respiratory Motion Artifacts.
Proceedings of the Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016), 2016

High accuracy 3D data acquisition using co-registered OCT and kinect.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Towards force sensing based on instrument-tissue interaction.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

Kontaktlose Schätzung der Interaktionskräfte chirurgischer Instrumente.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

On the effect of training for gesture control of a robotic microscope.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

Methods for Needle Motion Estimation from OCT Data.
Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

Subpixelgenaue Positionsbestimmung in Magnetic-Particle-Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.
IEEE Trans. Medical Imaging, 2015

A Concept for Fail Safe Robotic Needle Insertion in Soft Tissue.
Proceedings of the Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015, 2015

Fail Safety in Medical Cyber-Physical Systems (FS-MCPS).
Proceedings of the Software Engineering & Management 2015, Multikonferenz der GI-Fachbereiche Softwaretechnik (SWT) und Wirtschaftsinformatik (WI), FA WI-MAW, 17. März, 2015

Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management.
Proceedings of the Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015, 2015

Feasibility of Robotic Ultrasound Palpation.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Mobile C-arm Deformation and its implication on Stereoscopic Localization.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Evaluation des Einflusses von Artefakten auf den Korrelationsfehler in der bewegungskompensierten Radiochirurgie.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Detecting Respiratory Artifacts from Video Data.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy.
Int. J. Comput. Assist. Radiol. Surg., 2014

Innovative approach for in-vivo ablation validation on multimodal images.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

2013
Feasibility of touch-less control of operating room lights.
Int. J. Comput. Assist. Radiol. Surg., 2013

OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Model-Based Segmentation of the Left Atrium in CT and MRI Scans.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

Detecting Rat Heart Myocardial Fiber Directions in X-ray Microtomography Using Coherence-Enhancing Diffusion Filtering.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

2012
Calibration of the motor-assisted robotic stereotaxy system: MARS.
Int. J. Comput. Assist. Radiol. Surg., 2012

Correlation between external and internal respiratory motion: a validation study.
Int. J. Comput. Assist. Radiol. Surg., 2012

Localization of liver tumors in freehand 3D laparoscopic ultrasound.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Feasibiliy of optical detection of soft tissue deformation during needle insertion.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie.
Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012

2011
Forecasting pulsatory motion for non-invasive cardiac radiosurgery: an analysis of algorithms from respiratory motion prediction.
Int. J. Comput. Assist. Radiol. Surg., 2011

Feasibility of case-based beam generation for robotic radiosurgery.
Artif. Intell. Medicine, 2011

Realisierung einer schnellen und wiederholbaren Hot-Spot-Bestimmung für die robotergestützte Transkranielle Magnetstimulation mittels Kraft-Momenten-Steuerung.
Proceedings of the 10. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2011

Kompensation von Bewegungsartefakten beim Einbringen von Brachytherapienadeln.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010
Elastische Registrierung der Leber mit laparoskopischem Ultraschall in drei Schritten.
Proceedings of the 9. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2010

2009
Medizinische Robotik und Navigation.
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

2008
A simulation and training environment for robotic radiosurgery.
Int. J. Comput. Assist. Radiol. Surg., 2008

A Fast Lane Approach to LMS prediction of respiratory motion signals.
Biomed. Signal Process. Control., 2008

2007
Prediction of Respiratory Motion with Wavelet-Based Multiscale Autoregression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Computer Assisted Planning for Robotic Radiosurgery.
Proceedings of the Ausgezeichnete Informatikdissertationen 2007, 2007

Computer assisted planning for robotic radiosurgery.
PhD thesis, 2007

2006
3D visualization of radiosurgical treatment plans experience with Java3D and VTK.
Proceedings of the Computational Modeling of Objects Represented in Images-Fundamentals, 2006

2004
Beam placement for robotic radiosurgery.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2002
Research Paper: Recognition of Critical Situations from Time Series of Laboratory Results by Case-Based Reasoning.
J. Am. Medical Informatics Assoc., 2002

2001
A Case-Based Approach for the Classification of Medical Time Series.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

2000
Clix - A Hybrid Programming Environment for Distributed Objects and Distributed Shared Memory.
Proceedings of the Parallel and Distributed Processing, 2000


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