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ORCIDAlexander Schlaefer
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- affiliation: Hamburg-Harburg University of Technology, Institute of Medical Technology
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2020 – today
- 2025
[j45]Debesh Jha
, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025)- 2024
- [j44]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(2): 223-231 (2024) - [j43]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. Int. J. Comput. Assist. Radiol. Surg. 19(9): 1713-1721 (2024) - [j42]Sarah Grube, Sarah Latus, Finn Behrendt, Oleksandra Riabova, Maximilian Neidhardt, Alexander Schlaefer:
Needle tracking in low-resolution ultrasound volumes using deep learning. Int. J. Comput. Assist. Radiol. Surg. 19(10): 1975-1981 (2024) - [j41]Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer:
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. Int. J. Comput. Assist. Radiol. Surg. 19(10): 2111-2119 (2024) - [j40]Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge. IEEE Trans. Medical Imaging 43(8): 2839-2853 (2024) - [c84]Maximilian Neidhardt, Robin Mieling, Sarah Latus, Martin Fischer, Tobias Maurer, Alexander Schlaefer:
A Modified da Vinci Surgical Instrument for Optical Coherence Elastography with Deep Learning. BioRob 2024: 1196-1201 - [c83]Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer:
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. ISBI 2024: 1-4 - [c82]Robin Mieling, Sarah Latus, Finn Behrendt, Debayan Bhattacharya, Maximilian Neidhardt, Alexander Schlaefer:
Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? ISBI 2024: 1-4 - [c81]Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection. MICCAI (11) 2024: 394-404 - [c80]Mustafa Fuad Rifet Ibrahim, Tunç Alkanat, Maurice Meijer, Alexander Schlaefer, Peer Stelldinger:
Artifact: End-to-End Multi-Modal Tiny-CNN for Cardiovascular Monitoring on Sensor Patches. PerCom Workshops 2024: 5-6 - [c79]Mustafa Fuad Rifet Ibrahim, Tunç Alkanat, Maurice Meijer, Alexander Schlaefer, Peer Stelldinger:
End-to-End Multi-Modal Tiny-CNN for Cardiovascular Monitoring on Sensor Patches. PerCom 2024: 18-24 - [c78]Lars Beckers, Stefan Gerlach, Ole Lübke, Alexander Schlaefer, Sibylle Schupp:
Sliced Online Model Checking for Optimizing the Beam Scheduling Problem in Robotic Radiation Therapy. MARS@ETAPS 2024: 193-209 - [i59]Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy:
Nodule detection and generation on chest X-rays: NODE21 Challenge. CoRR abs/2401.02192 (2024) - [i58]Debayan Bhattacharya, Konrad Reuter, Finn Behrendt, Lennart Maack, Sarah Grube, Alexander Schlaefer:
PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. CoRR abs/2402.11585 (2024) - [i57]Maximilian Neidhardt, Robin Mieling, Sarah Latus, Martin Fischer, Tobias Maurer, Alexander Schlaefer:
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning. CoRR abs/2403.09256 (2024) - [i56]Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer:
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. CoRR abs/2403.14262 (2024) - [i55]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Lennart Maack, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Self-supervised learning for classifying paranasal anomalies in the maxillary sinus. CoRR abs/2404.18599 (2024) - [i54]Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection. CoRR abs/2407.12474 (2024) - 2023
- [j39]Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer:
Squeeze and multi-context attention for polyp segmentation. Int. J. Imaging Syst. Technol. 33(1): 123-142 (2023) - [j38]Inga Kniep, Robin Mieling, Moritz Gerling, Alexander Schlaefer, Axel Heinemann, Benjamin Ondruschka:
Bayesian Reconstruction Algorithms for Low-Dose Computed Tomography Are Not Yet Suitable in Clinical Context. J. Imaging 9(9): 170 (2023) - [j37]Marcel Bengs, Johanna Sprenger, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer:
Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy. IEEE Trans. Biomed. Eng. 70(9): 2690-2699 (2023) - [j36]Sarah Latus, Sarah Grube, Tim Eixmann, Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Gereon Hüttmann, Matthias Lutz, Alexander Schlaefer:
A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography. IEEE Trans. Biomed. Eng. 70(11): 3064-3072 (2023) - [c77]Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer:
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. EMBC 2023: 1-4 - [c76]Robin Mieling, Maximilian Neidhardt, Sarah Latus, Carolin Stapper, Stefan Gerlach, Inga Kniep, Axel Heinemann, Benjamin Ondruschka, Alexander Schlaefer:
Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback. ICRA 2023: 6893-6900 - [c75]Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers. ISBI 2023: 1-4 - [c74]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus. Computer-Aided Diagnosis 2023 - [c73]Robin Mieling, Sarah Latus, Martin Fischer, Finn Behrendt, Alexander Schlaefer:
Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue. MICCAI (9) 2023: 607-617 - [c72]Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. MIDL 2023: 1019-1032 - [c71]Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer:
Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning. Image Processing 2023 - [i53]Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI. CoRR abs/2303.03758 (2023) - [i52]Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer:
Multiple Instance Ensembling For Paranasal Anomaly Classification In The Maxillary Sinus. CoRR abs/2303.17915 (2023) - [i51]Debayan Bhattacharya, Sarah Latus, Finn Behrendt, Florin Thimm, Dennis Eggert, Christian Betz, Alexander Schlaefer:
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography. CoRR abs/2304.13574 (2023) - [i50]Robin Mieling, Maximilian Neidhardt, Sarah Latus, Carolin Stapper, Stefan Gerlach, Inga Kniep, Axel Heinemann, Benjamin Ondruschka, Alexander Schlaefer:
Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback. CoRR abs/2306.07129 (2023) - [i49]Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - [i48]Maximilian Neidhardt, Stefan Gerlach, F. N. Schmidt, I. A. K. Fiedler, Sarah Grube, B. Busse, Alexander Schlaefer:
VR-based body tracking to stimulate musculoskeletal training. CoRR abs/2308.03375 (2023) - [i47]Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs. CoRR abs/2312.04215 (2023) - 2022
- [j35]Stefan Gerlach, Theresa Hofmann, Christoph Fürweger, Alexander Schlaefer:
AI-based optimization for US-guided radiation therapy of the prostate. Int. J. Comput. Assist. Radiol. Surg. 17(11): 2023-2032 (2022) - [j34]Johanna Sprenger, Marcel Bengs, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer:
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking. Int. J. Comput. Assist. Radiol. Surg. 17(11): 2131-2139 (2022) - [j33]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. Medical Image Anal. 78: 102382 (2022) - [j32]Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer:
Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning. IEEE Trans. Biomed. Eng. 69(11): 3356-3364 (2022) - [c70]Robin Mieling, Carolin Stapper, Stefan Gerlach, Maximilian Neidhardt, Sarah Latus, Martin Gromniak, Philipp Breitfeld, Alexander Schlaefer:
Proximity-Based Haptic Feedback for Collaborative Robotic Needle Insertion. EuroHaptics 2022: 301-309 - [c69]Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data. ISBI 2022: 1-4 - [c68]Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction. Computer-Aided Diagnosis 2022 - [c67]Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
Self-supervised U-Net for segmenting flat and sessile polyps. Computer-Aided Diagnosis 2022 - [c66]Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann:
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. MICCAI (3) 2022: 429-438 - [c65]Sascha Lehmann, Antje Rogalla, Maximilian Neidhardt, Anton Reinecke, Alexander Schlaefer, Sibylle Schupp:
Modeling R3 Needle Steering in Uppaal. MARS@ETAPS 2022: 40-59 - [i46]Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Max-Heinrich Laves, Thorben Weiß, Martin Gromniak, Antonia Fitzek, Dustin Möbius, Inga Kniep, Alexandra Ron, Julia Schädler, Axel Heinemann, Klaus Püschel, Benjamin Ondruschka, Alexander Schlaefer:
Robotic Tissue Sampling for Safe Post-mortem Biopsy in Infectious Corpses. CoRR abs/2201.12168 (2022) - [i45]Marcel Bengs, Finn Behrendt, Max-Heinrich Laves, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction. CoRR abs/2201.13081 (2022) - [i44]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer, Sandy Engelhardt:
Posterior temperature optimized Bayesian models for inverse problems in medical imaging. CoRR abs/2202.00986 (2022) - [i43]Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Stefan Gerlach, Christian J. Cyron, Johanna Sprenger, Alexander Schlaefer:
Ultrasound Shear Wave Elasticity Imaging with Spatio-Temporal Deep Learning. CoRR abs/2204.05745 (2022) - [i42]Finn Behrendt, Marcel Bengs, Frederik Rogge, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with impured training data. CoRR abs/2204.05778 (2022) - [i41]Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. CoRR abs/2208.08166 (2022) - [i40]Debayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann:
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus. CoRR abs/2209.01937 (2022) - 2021
- [j31]Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer:
4D deep learning for real-time volumetric optical coherence elastography. Int. J. Comput. Assist. Radiol. Surg. 16(1): 23-27 (2021) - [j30]Lennart Bargsten, Silas Raschka, Alexander Schlaefer:
Capsule networks for segmentation of small intravascular ultrasound image datasets. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1243-1254 (2021) - [j29]Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI. Int. J. Comput. Assist. Radiol. Surg. 16(9): 1413-1423 (2021) - [j28]Sarah Latus, Johanna Sprenger, Maximilian Neidhardt, Julia Schädler, Alexandra Ron, Antonia Fitzek, Matthias Schlüter, Philipp Breitfeld, Axel Heinemann, Klaus Püschel, Alexander Schlaefer:
Rupture Detection During Needle Insertion Using Complex OCT Data and CNNs. IEEE Trans. Biomed. Eng. 68(10): 3059-3067 (2021) - [c64]Johanna Sprenger, Thore Saathoff, Alexander Schlaefer:
Automated Robotic Surface Scanning With Optical Coherence Tomography. ISBI 2021: 1137-1140 - [c63]Lennart Bargsten, Katharina A. Riedl, Tobias Wissel, Fabian J. Brunner, Klaus Schaefers, Michael Grass, Stefan Blankenberg, Moritz Seiffert, Alexander Schlaefer:
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets. MIDL 2021: 34-47 - [c62]Malte Tölle, Max-Heinrich Laves, Alexander Schlaefer:
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging. MIDL 2021: 745-760 - [c61]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. Digital Pathology 2021 - [c60]Johanna Sprenger, Maximilian Neidhardt, Matthias Schlüter, Sarah Latus, Tobias Gosau, Julia Kemmling, Susanne Feldhaus, Udo Schumacher, Alexander Schlaefer:
In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs. Image-Guided Procedures 2021 - [c59]Sascha Lehmann, Antje Rogalla, Maximilian Neidhardt, Alexander Schlaefer, Sibylle Schupp:
Online Strategy Synthesis for Safe and Optimized Control of Steerable Needles. FMAS 2021: 128-135 - [e3]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i39]Max-Heinrich Laves, Malte Tölle, Alexander Schlaefer:
Posterior Temperature Optimization in Variational Inference. CoRR abs/2106.07533 (2021) - [i38]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets. CoRR abs/2109.05025 (2021) - [i37]Marcel Bengs, Finn Behrendt, Julia Krüger, Roland Opfer, Alexander Schlaefer:
3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI. CoRR abs/2109.06540 (2021) - [i36]Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. CoRR abs/2109.06547 (2021) - [i35]Robin Mieling, Johanna Sprenger, Sarah Latus, Lennart Bargsten, Alexander Schlaefer:
A novel optical needle probe for deep learning-based tissue elasticity characterization. CoRR abs/2109.09362 (2021) - [i34]Debayan Bhattacharya, Christian Betz, Dennis Eggert, Alexander Schlaefer:
Self-Supervised U-Net for Segmenting Flat and Sessile Polyps. CoRR abs/2110.08776 (2021) - 2020
- [j27]Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data. Int. J. Comput. Assist. Radiol. Surg. 15(6): 943-952 (2020) - [j26]Lennart Bargsten, Alexander Schlaefer:
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. 15(9): 1427-1436 (2020) - [j25]Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer:
Needle tip force estimation by deep learning from raw spectral OCT data. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1699-1702 (2020) - [j24]Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer:
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs. Comput. Medical Imaging Graph. 84: 101772 (2020) - [j23]Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer:
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. Medical Image Anal. 64: 101730 (2020) - [j22]Matthias Schlüter, Lukas Glandorf, Martin Gromniak, Thore Saathoff, Alexander Schlaefer:
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography. Sensors 20(9): 2678 (2020) - [j21]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting. IEEE Trans. Biomed. Eng. 67(2): 495-503 (2020) - [c58]Maximilian Neidhardt, Marcel Bengs, Sarah Latus, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer:
Deep Learning for High Speed Optical Coherence Elastography. ISBI 2020: 1583-1586 - [c57]Matthias Schlüter, Lukas Glandorf, Johanna Sprenger, Martin Gromniak, Maximilian Neidhardt, Thore Saathoff, Alexander Schlaefer:
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images. ISBI 2020: 1979-1982 - [c56]Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer:
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. Computer-Aided Diagnosis 2020 - [c55]Nils Gessert, Marcel Bengs, Alexander Schlaefer:
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. Computer-Aided Diagnosis 2020 - [c54]Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer:
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. MICCAI (3) 2020: 690-699 - [c53]Antje Rogalla, Sascha Lehmann, Maximilian Neidhardt, Johanna Sprenger, Marcel Bengs, Alexander Schlaefer, Sibylle Schupp:
Synthesizing Strategies for Needle Steering in Gelatin Phantoms. MARS@ETAPS 2020: 261-274 - [i33]Nils Gessert, Alexander Schlaefer:
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs. CoRR abs/2001.09371 (2020) - [i32]Nils Gessert, Marcel Bengs, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer:
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. CoRR abs/2004.09216 (2020) - [i31]Marcel Bengs, Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data. CoRR abs/2004.10114 (2020) - [i30]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data. CoRR abs/2004.10121 (2020) - [i29]Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer:
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. CoRR abs/2004.10159 (2020) - [i28]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. CoRR abs/2004.10165 (2020) - [i27]Nils Gessert, Marcel Bengs, Matthias Schlüter, Alexander Schlaefer:
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation. CoRR abs/2005.10033 (2020) - [i26]Martin Gromniak, Nils Gessert, Thore Saathoff, Alexander Schlaefer:
Needle tip force estimation by deep learning from raw spectral OCT data. CoRR abs/2006.16675 (2020) - [i25]Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer:
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. CoRR abs/2007.01042 (2020) - [i24]Marcel Bengs, Nils Gessert, Alexander Schlaefer:
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes. CoRR abs/2007.01044 (2020) - [i23]Nils Gessert, Julia Krüger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Hagen H. Kitzler, Sven Schippling, Alexander Schlaefer:
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs. CoRR abs/2008.02001 (2020)
2010 – 2019
- 2019
- [j20]Matthias Schlüter, Stefan Gerlach, Christoph Fürweger, Alexander Schlaefer:
Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1379-1387 (2019) - [j19]Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Spatio-temporal deep learning models for tip force estimation during needle insertion. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1485-1493 (2019) - [j18]Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1837-1845 (2019) - [j17]Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer:
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 38(2): 426-434 (2019) - [c52]Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. Bildverarbeitung für die Medizin 2019: 327-332 - [c51]Matthias Schlüter, Manka M. Fuh, Stephanie Maier, Christoph Otte, Parnian Kiani, Nils-Owe Hansen, R. J. Dwayne Miller, Hartmut Schlüter, Alexander Schlaefer:
Towards OCT-Navigated Tissue Ablation with a Picosecond Infrared Laser (PIRL) and Mass-Spectrometric Analysis. EMBC 2019: 158-161 - [c50]Lennart Bargsten, Mareike Wendebourg, Alexander Schlaefer:
Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture. EMBC 2019: 989-992 - [c49]Sarah Latus, Maximilian Neidhardt, Matthias Lutz, Nils Gessert, Norbert Frey, Alexander Schlaefer:
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. EMBC 2019: 6004-6007 - [c48]Matthias Schlüter, Christoph Fürweger, Alexander Schlaefer:
Optimizing Configurations for 7-DoF Robotic Ultrasound Guidance in Radiotherapy of the Prostate. EMBC 2019: 6983-6986 - [c47]Romol Chadda, Sonja Wismath, Markus Hessinger, Niklas Schäfer, Alexander Schlaefer, Mario Kupnik:
Needle Tip Force Sensor for Medical Applications. IEEE SENSORS 2019: 1-4 - [c46]Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. STACOM@MICCAI 2019: 375-383 - [c45]Matthias Schlüter, Christoph Otte, Thore Saathoff, Nils Gessert, Alexander Schlaefer:
Feasibility of a markerless tracking system based on optical coherence tomography. Image-Guided Procedures 2019: 1095107 - [c44]Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. Image-Guided Procedures 2019: 1095108 - [c43]Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer:
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. Image Processing 2019: 109492C - [i22]Max-Heinrich Laves, Sarah Latus, Jan Bergmeier, Tobias Ortmaier, Lüder A. Kahrs, Alexander Schlaefer:
Endoscopic vs. volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant surgery. CoRR abs/1901.06490 (2019) - [i21]Nils Gessert, Matthias Schlüter, Sarah Latus, Veronika Volgger, Christian Betz, Alexander Schlaefer:
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods. CoRR abs/1902.03618 (2019) - [i20]Nils Gessert, Alexander Schlaefer:
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation. CoRR abs/1905.02590 (2019) - [i19]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting. CoRR abs/1905.02793 (2019) - [i18]Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. CoRR abs/1905.07991 (2019) - [i17]Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion. CoRR abs/1905.09282 (2019) - [i16]Nils Gessert, Alexander Schlaefer:
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs. CoRR abs/1908.04181 (2019) - [i15]Nils Gessert, Martin Gromniak, Marcel Bengs, Lars Matthäus, Alexander Schlaefer:
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. CoRR abs/1908.04186 (2019) - [i14]Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner, Alexander Schlaefer:
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data. CoRR abs/1910.03910 (2019) - [i13]Nils Gessert, Marcel Bengs, Alexander Schlaefer:
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models. CoRR abs/1911.02322 (2019) - 2018
- [j16]Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer:
Force estimation from OCT volumes using 3D CNNs. Int. J. Comput. Assist. Radiol. Surg. 13(7): 1073-1082 (2018) - [j15]Sven-Thomas Antoni, Sascha Lehmann, Maximilian Neidhardt, Kai Fehrs, Christian Ruprecht, Fabian Kording, Gerhard Adam, Sibylle Schupp, Alexander Schlaefer:
Model checking for trigger loss detection during Doppler ultrasound-guided fetal cardiovascular MRI. Int. J. Comput. Assist. Radiol. Surg. 13(11): 1755-1766 (2018) - [j14]Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
A deep learning approach for pose estimation from volumetric OCT data. Medical Image Anal. 46: 162-179 (2018) - [c42]Sascha Lehmann, Sven-Thomas Antoni, Alexander Schlaefer, Sibylle Schupp:
A Quantitative Metric Temporal Logic for Execution-Time Constrained Verification. CyPhy/WESE 2018: 170-189 - [c41]Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture. MICCAI (4) 2018: 222-229 - [c40]Julia Padberg, Alexander Schlaefer, Sibylle Schupp:
Ein Ansatz zur nachvollziehbaren Verifikation medizinisch-cyber-physikalischer Systeme. Software Engineering 2018: 209-210 - [i12]Nils Gessert, Matthias Schlüter, Alexander Schlaefer:
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data. CoRR abs/1803.03852 (2018) - [i11]Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer:
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. CoRR abs/1804.03904 (2018) - [i10]Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu, Kim Lindberg Schwaner, Nils Gessert, Alexander Schlaefer:
Design and implementation of a wireless instrument adapter. CoRR abs/1804.05772 (2018) - [i9]Nils Gessert, Jens Beringhoff, Christoph Otte, Alexander Schlaefer:
Force Estimation from OCT Volumes using 3D CNNs. CoRR abs/1804.10002 (2018) - [i8]Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer:
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. CoRR abs/1805.06223 (2018) - [i7]Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer:
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture. CoRR abs/1805.11911 (2018) - [i6]Omer Rajput, Nils Gessert, Martin Gromniak, Lars Matthäus, Alexander Schlaefer:
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. CoRR abs/1807.03651 (2018) - [i5]Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz, Helge Kniep, Ivo M. Baltruschat, René Werner, Alexander Schlaefer:
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting. CoRR abs/1808.01694 (2018) - [i4]Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer:
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. CoRR abs/1808.04187 (2018) - [i3]Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer:
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. CoRR abs/1810.09578 (2018) - [i2]Nils Gessert, Martin Gromniak, Matthias Schlüter, Alexander Schlaefer:
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation. CoRR abs/1810.09582 (2018) - [i1]Nils Gessert, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht:
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks. CoRR abs/1812.01464 (2018) - 2017
- [j13]Stefan Gerlach, Ivo Kuhlemann, Philipp Jauer, Ralf Bruder, Floris Ernst, Christoph Fürweger, Alexander Schlaefer:
Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality. Int. J. Comput. Assist. Radiol. Surg. 12(1): 149-159 (2017) - [j12]Nadine Gdaniec, Matthias Schlüter, Martin Möddel, Michael G. Kaul, Kannan M. Krishnan, Alexander Schlaefer, Tobias Knopp:
Detection and Compensation of Periodic Motion in Magnetic Particle Imaging. IEEE Trans. Medical Imaging 36(7): 1511-1521 (2017) - [c39]Sven-Thomas Antoni, Omar M. F. Ismail, Daniel Schetelig, Björn-Philipp Diercks, René Werner, Insa M. A. Wolf, Andreas H. Guse, Alexander Schlaefer:
Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. Bildverarbeitung für die Medizin 2017: 275-280 - [c38]Sven-Thomas Antoni, Christoph Otte, Thiusius Rajeeth Savarimuthu, Omer Rajput, Alexander Schlaefer:
Optical coherence tomography based 1D to 6D eye-in-hand calibration. IROS 2017: 5886-5891 - [c37]Sarah Latus, Christoph Otte, Matthias Schlüter, Josua Rehra, Kevin Bizon, Hinnerk Schulz-Hildebrandt, Thore Saathoff, Gereon Hüttmann, Alexander Schlaefer:
An Approach for Needle Based Optical Coherence Elastography Measurements. MICCAI (2) 2017: 655-663 - [c36]Alexander Schlaefer, Sibylle Schupp, André Stollenwerk:
FS-MCPS 2017 - 3rd Workshop on Fail Safety in Medical Cyber-Physical Systems. Software Engineering 2017: 45 - 2016
- [j11]Sven-Thomas Antoni, Jonas Rinast, Xintao Ma, Sibylle Schupp, Alexander Schlaefer:
Online model checking for monitoring surrogate-based respiratory motion tracking in radiation therapy. Int. J. Comput. Assist. Radiol. Surg. 11(11): 2085-2096 (2016) - [c35]Martin Hofmann, Kevin Bizon, Alexander Schlaefer, Tobias Knopp:
Subpixelgenaue Positionsbestimmung in Magnetic-Particle-Imaging. Bildverarbeitung für die Medizin 2016: 20-25 - [c34]Jens Beringhoff, Christoph Otte, Matthias Schlüter, Thore Saathoff, Alexander Schlaefer:
Kontaktlose Schätzung der Interaktionskräfte chirurgischer Instrumente. CURAC 2016: 191-196 - [c33]Sarah Latus, Matthias Lutz, Christoph Otte, Sven-Thomas Antoni, Norbert Frey, Alexander Schlaefer:
Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography. CURAC 2016: 203-207 - [c32]Jens Ackermann, Christoph Otte, Gereon Hüttmann, Alexander Schlaefer:
Methods for Needle Motion Estimation from OCT Data. CURAC 2016: 208-213 - [c31]Sven-Thomas Antoni, Thore Saathoff, Alexander Schlaefer:
On the effect of training for gesture control of a robotic microscope. CURAC 2016: 298-299 - [c30]Omer Rajput, Sven-Thomas Antoni, Christoph Otte, Thore Saathoff, Lars Matthäus, Alexander Schlaefer:
High accuracy 3D data acquisition using co-registered OCT and kinect. MFI 2016: 32-37 - [c29]Christoph Otte, Jens Beringhoff, Sarah Latus, Sven-Thomas Antoni, Omer Rajput, Alexander Schlaefer:
Towards force sensing based on instrument-tissue interaction. MFI 2016: 180-185 - [c28]Alexander Schlaefer, Sibylle Schupp, André Stollenwerk:
FS-MCPS: 2nd workshop on fail safety in medical cyber-physical systems. Software Engineering 2016: 127-128 - [c27]Alexander Schlaefer, Sibylle Schupp, André Stollenwerk:
2nd Workshop on Fail Safety in Medical Cyber-Physical Systems (FS-MCPS). Software Engineering (Workshops) 2016: 172-173 - [c26]Sven-Thomas Antoni, Xintao Ma, Sibylle Schupp, Alexander Schlaefer:
Reducing False Discovery Rates for On-line Model Checking Based Detection of Respiratory Motion Artifacts. Software Engineering (Workshops) 2016: 182-186 - [e2]Wolf Zimmermann, Lukas Alperowitz, Bernd Brügge, Jörn Fahsel, Andrea Herrmann, Anne Hoffmann, Andreas Krall, Dieter Landes, Horst Lichter, Dirk Riehle, Ina Schaefer, Constantin Scheuermann, Alexander Schlaefer, Sibylle Schupp, Andreas Seitz, Andreas Steffens, André Stollenwerk, Rüdiger Weißbach:
Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2016 (SE 2016), Wien, 23.-26. Februar 2016. CEUR Workshop Proceedings 1559, CEUR-WS.org 2016 [contents] - 2015
- [j10]Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode:
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015) - [c25]Sven-Thomas Antoni, Robert Plagge, Robert Dürichen, Alexander Schlaefer:
Detecting Respiratory Artifacts from Video Data. Bildverarbeitung für die Medizin 2015: 227-232 - [c24]Daniel Schetelig, Insa M. A. Wolf, Björn-Philipp Diercks, Ralf Fliegert, Andreas H. Guse, Alexander Schlaefer, René Werner:
A Modular Framework for Post-Processing and Analysis of Fluorescence Microscopy Image Sequences of Subcellular Calcium Dynamics. Bildverarbeitung für die Medizin 2015: 401-406 - [c23]Kevin Schulz, Benjamin Hollmach, Stefan Soltau, Thore Saathoff, Alexander Schlaefer:
Feasibility of Robotic Ultrasound Palpation. CURAC 2015: 125-130 - [c22]Sven-Thomas Antoni, Jonas Rinast, Sibylle Schupp, Alexander Schlaefer:
Evaluation des Einflusses von Artefakten auf den Korrelationsfehler in der bewegungskompensierten Radiochirurgie. CURAC 2015: 133-138 - [c21]Maximilian Neidhardt, Omer Rajput, Daniel Drömann, Alexander Schlaefer:
Mobile C-arm Deformation and its implication on Stereoscopic Localization. CURAC 2015: 183-188 - [c20]Kevin Schulz, Christoph Otte, Gereon Hüttmann, Alexander Schlaefer:
A Concept for Fail Safe Robotic Needle Insertion in Soft Tissue. Software Engineering (Workshops) 2015: 7-10 - [c19]Sven-Thomas Antoni, Jonas Rinast, Sibylle Schupp, Alexander Schlaefer:
Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management. Software Engineering (Workshops) 2015: 15-18 - [c18]Alexander Schlaefer, Sibylle Schupp:
Fail Safety in Medical Cyber-Physical Systems (FS-MCPS). Software Engineering & Management 2015: 268 - [e1]Wolf Zimmermann, Wolfgang Böhm, Clemens Grelck, Robert Heinrich, Reiner Jung, Marco Konersmann, Alexander Schlaefer, Eric Schmieders, Sibylle Schupp, Baltasar Trancón y Widemann, Thorsten Weyer:
Gemeinsamer Tagungsband der Workshops der Tagung Software Engineering 2015, Dresden, Germany, 17.-18. März 2015. CEUR Workshop Proceedings 1337, CEUR-WS.org 2015 [contents] - 2014
- [j9]Nikolas Leßmann, Daniel Drömann, Alexander Schlaefer:
Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. Int. J. Comput. Assist. Radiol. Surg. 9(2): 199-209 (2014) - [c17]Osama Shahin, G. Karagkounis, Daniel Carnegie, Alexander Schlaefer, Emad Boctor:
Innovative approach for in-vivo ablation validation on multimodal images. Image-Guided Procedures 2014: 903602 - 2013
- [j8]Florian Hartmann, Alexander Schlaefer:
Feasibility of touch-less control of operating room lights. Int. J. Comput. Assist. Radiol. Surg. 8(2): 259-268 (2013) - [c16]Birgit Stender, Alexander Schlaefer:
Detecting Rat Heart Myocardial Fiber Directions in X-ray Microtomography Using Coherence-Enhancing Diffusion Filtering. FIMH 2013: 63-70 - [c15]Birgit Stender, Oliver Blanck, Bo Wang, Alexander Schlaefer:
Model-Based Segmentation of the Left Atrium in CT and MRI Scans. STACOM 2013: 31-41 - [c14]Sebastian Otte, Christoph Otte, Alexander Schlaefer, Lukas Wittig, Gereon Hüttmann, Daniel Drömann, A. Zeli:
OCT A-Scan based lung tumor tissue classification with Bidirectional Long Short Term Memory networks. MLSP 2013: 1-6 - 2012
- [j7]Floris Ernst, Ralf Bruder, Alexander Schlaefer, Achim Schweikard:
Correlation between external and internal respiratory motion: a validation study. Int. J. Comput. Assist. Radiol. Surg. 7(3): 483-492 (2012) - [j6]Maximilian Heinig, Ulrich G. Hofmann, Alexander Schlaefer:
Calibration of the motor-assisted robotic stereotaxy system: MARS. Int. J. Comput. Assist. Radiol. Surg. 7(6): 911-920 (2012) - [c13]Nikolas Leßmann, Julian Sulikowski, Pedro Nevoa, Toni Kral, Daniel Drömann, Alexander Schlaefer:
Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie. CURAC 2012: 25-30 - [c12]Christoph Otte, Gereon Hüttmann, Alexander Schlaefer:
Feasibiliy of optical detection of soft tissue deformation during needle insertion. Image-Guided Procedures 2012: 83160V - [c11]Osama Shahin, Volker Martens, Armin Besirevic, Markus Kleemann, Alexander Schlaefer:
Localization of liver tumors in freehand 3D laparoscopic ultrasound. Image-Guided Procedures 2012: 83162C - 2011
- [j5]Alexander Schlaefer, Sonja Dieterich:
Feasibility of case-based beam generation for robotic radiosurgery. Artif. Intell. Medicine 52(2): 67-75 (2011) - [j4]Floris Ernst, Ralf Bruder, Alexander Schlaefer, Achim Schweikard:
Forecasting pulsatory motion for non-invasive cardiac radiosurgery: an analysis of algorithms from respiratory motion prediction. Int. J. Comput. Assist. Radiol. Surg. 6(1): 93-101 (2011) - [c10]Christoph Otte, Rehman Ansari, György Kovács, Markus Sommerauer, Gereon Hüttmann, Alexander Schlaefer:
Kompensation von Bewegungsartefakten beim Einbringen von Brachytherapienadeln. Bildverarbeitung für die Medizin 2011: 444-448 - [c9]Lars Richter, Ralf Bruder, Alexander Schlaefer, Achim Schweikard:
Realisierung einer schnellen und wiederholbaren Hot-Spot-Bestimmung für die robotergestützte Transkranielle Magnetstimulation mittels Kraft-Momenten-Steuerung. CURAC 2011: 31-34 - 2010
- [c8]Volker Martens, Armin Besirevic, Osama Shahin, Markus Kleemann, Alexander Schlaefer:
Elastische Registrierung der Leber mit laparoskopischem Ultraschall in drei Schritten. CURAC 2010: 179-182
2000 – 2009
- 2009
- [c7]Alexander Schlaefer, Sonja Dieterich:
Feasibility of Case-Based Beam Generation for Robotic Radiosurgery. AIME 2009: 106-115 - [c6]Alexander Schlaefer, Achim Schweikard:
Medizinische Robotik und Navigation. GI Jahrestagung 2009: 82 - 2008
- [j3]Floris Ernst, Alexander Schlaefer, Sonja Dieterich, Achim Schweikard:
A Fast Lane Approach to LMS prediction of respiratory motion signals. Biomed. Signal Process. Control. 3(4): 291-299 (2008) - [j2]Alexander Schlaefer, Jakub Gill, Achim Schweikard:
A simulation and training environment for robotic radiosurgery. Int. J. Comput. Assist. Radiol. Surg. 3(3-4): 267-274 (2008) - 2007
- [b1]Alexander Schlaefer:
Computer assisted planning for robotic radiosurgery. Universität Lübeck, 2007, pp. I-X, 1-161 - [c5]Floris Ernst, Alexander Schlaefer, Achim Schweikard:
Prediction of Respiratory Motion with Wavelet-Based Multiscale Autoregression. MICCAI (2) 2007: 668-675 - [p1]Alexander Schlaefer:
Computer Assisted Planning for Robotic Radiosurgery. Ausgezeichnete Informatikdissertationen 2007: 259-268 - 2006
- [c4]Oliver Blanck, Alexander Schlaefer, Achim Schweikard:
3D visualization of radiosurgical treatment plans experience with Java3D and VTK. CompIMAGE 2006: 101-106 - 2004
- [c3]Alexander Schlaefer, Peter Kneschaurek, Achim Schweikard:
Beam placement for robotic radiosurgery. CARS 2004: 1235 - 2002
- [j1]Lutz Fritsche, Alexander Schlaefer, Klemens Budde, Kay Schröter, Hans-H. Neumayer:
Research Paper: Recognition of Critical Situations from Time Series of Laboratory Results by Case-Based Reasoning. J. Am. Medical Informatics Assoc. 9(5): 520-528 (2002) - 2001
- [c2]Alexander Schlaefer, Kay Schröter, Lutz Fritsche:
A Case-Based Approach for the Classification of Medical Time Series. ISMDA 2001: 258-263 - 2000
- [c1]Frank Mueller, Jörg Nolte, Alexander Schlaefer:
Clix - A Hybrid Programming Environment for Distributed Objects and Distributed Shared Memory. IPDPS Workshops 2000: 285-292
Coauthor Index
[j27] [j25] [j24] [j23] [j21] [c56] [c55] [c54] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j19] [j18] [j17] [c52] [c49] [c46] [c45] [c44] [c43] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j16] [j14] [c41] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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