Forschungsbericht 2024

Medizintechnische und Intelligente Systeme E-1

Leitung: Schlaefer, Alexander
Oberingenieurin: Latus, Sarah

Institut auf TORE
Institutswebsite

Publikationen

• A modified da Vinci surgical instrument for optical coherence elastography with deep learning - Conference Paper
  Neidhardt, Maximilian; Maurer, Tobias; Mieling, Till Robin; Latus, Sarah; Fischer, Martin; Schlaefer, Alexander
  10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2024
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• VR-based body tracking to stimulate musculoskeletal training - Journal Article
  Neidhardt, Maximilian; Gerlach, Stefan; Schmidt, Felix Nikolai; Fiedler, Imke A. K.; Grube, Sarah; Busse, Björn; Schlaefer, Alexander
  Current Directions in Biomedical Engineering 10 (2): 111-114 (2024)
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• A calibration approach for elasticity estimation with medical tools - Journal Article
  Grube, Sarah; Neidhardt, Maximilian; Hermann, Anna-Katarina; Sprenger, Johanna; Abdolazizi, Kian Philipp; Latus, Sarah; Cyron, Christian J.; Schlaefer, Alexander
  Current Directions in Biomedical Engineering 10 (2): 99-102 (2024)
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• 6-degree vision based tracking of a mandible phantom with deep learning - Journal Article
  Boudreault, Ana Jade; Spille, Johannes Heinrich; Wiltfang, Jörg; Schlaefer, Alexander; Neidhardt, Maximilian
  Current Directions in Biomedical Engineering 10 (1): 5-8 (2024)
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• Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges - Journal Article
  Jha, Debesh; Sharma, Vanshali; Banik, Debapriya; Bhattacharya, Debayan; Roy, Kaushiki; Hicks, Steven A.; Tomar, Nikhil Kumar; Thambawita, Vajira; Krenzer, Adrian; Ji, Ge Peng; Poudel, Sahadev; Batchkala, George; Alam, Saruar; Ahmed, Awadelrahman M. A.; Trinh, Quoc-Huy; Khan, Zeshan; Nguyen, Tien Phat Thanh; Shrestha, Shruti; Nathan, Sabari; Gwak, Jeonghwan; Jha, Ritika Kumari; Zhang, Zheyuan; Schlaefer, Alexander; Bhattacharjee, Debotosh; Bhuyan, M. K.; Das, Pradip K.; Fan, Deng Ping; Parasa, Sravanthi; Ali, Sharib; Riegler, Michael A.; Halvorsen, Pål; Lange, Thomas de; Bagci, Ulas
  Medical Image Analysis 99: 103307 (2025)
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• Automated detection of palatal deformations using deep learning on endoscopic images - Journal Article
  Schild, Leona; Zang, Jana; Flügel, Till; Weiss, Deike; Schlaefer, Alexander; Latus, Sarah
  Current Directions in Biomedical Engineering 10 (1): 65-68 (2024)
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• Computer-aided diagnosis of maxillary sinus anomalies : validation and clinical correlation - Journal Article
  Bhattacharya, Debayan; Becker, Benjamin Tobias; Behrendt, Finn; Beyersdorff, Dirk; Petersen, Elina Larissa; Petersen, Marvin; Cheng, Bastian; Eggert, Dennis; Betz, Christian Stephan; Schlaefer, Alexander; Hoffmann, Anna Sophie
  Laryngoscope 134 (9): 3927-3934 (2024)
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• PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM - Journal Article
  Bhattacharya, Debayan; Reuter, Konrad; Behrendt, Finn; Maack, Lennart; Grube, Sarah; Schlaefer, Alexander
  International Journal of Computer Assisted Radiology and Surgery: 19 (10): 2111-2119 (2024)
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• Needle tracking in low-resolution ultrasound volumes using deep learning - Journal Article
  Grube, Sarah; Latus, Sarah; Behrendt, Finn; Riabova, Oleksandra; Neidhardt, Maximilian; Schlaefer, Alexander
  International Journal of Computer Assisted Radiology and Surgery 19 (10): 1975-1981 (2024)
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• Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI - Conference Paper
  Behrendt, Finn; Bhattacharya, Debayan; Krüger, Julia; Opfer, Roland; Schlaefer, Alexander
  Medical Imaging with Deep Learning, PMLR 2024
  
  
• Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs - Conference Paper
  Behrendt, Finn; Bhattacharya, Debayan; Maack, Lennart; Krüger, Julia; Opfer, Roland; Schlaefer, Alexander
  7th International Conference on Medical Imaging with Deep Learning, MIDL 2024
  Open Access
  
  
• Efficient anatomy segmentation in laparoscopic surgery using multi-teacher knowledge distillation - Conference Paper
  Maack, Lennart; Behrendt, Finn; Bhattacharya, Debayan; Latus, Sarah; Schlaefer, Alexander
  7th International Conference on Medical Imaging with Deep Learning, MIDL 2024
  
  
• TransRUPNet for Improved Polyp Segmentation - Conference Paper
  Debesh Jha; Tomar, Nikhil Kumar; Bhattacharya, Debayan; Biswas, Koushik; Bagci, Ulas
  Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
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• Path-05. Machine learning-based cytological analysis of cerebrospinal fluid in medulloblastoma - Conference Paper
  Maack, Lennart; Kresbach, Catena; Julia Neumann; Jacqueline Tischendorf; Annika Wefers; Seegerer, Philipp; Schüller, Ulrich; Schlaefer, Alexander; Bockmayr, Michael
  International Symposium on Pediatric Neuro-Oncology, ISPNO 2024
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• BrainLossNet : a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI - Journal Article
  Opfer, Roland; Krüger, Julia; Buddenkotte, Thomas; Spies, Lothar; Behrendt, Finn; Schippling, Sven; Buchert, Ralph
  International Journal of Computer Assisted Radiology and Surgery 19 (9): 1763–1771 (2024)
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• Self-supervised learning for classifying paranasal anomalies in the maxillary sinus - Journal Article
  Bhattacharya, Debayan; Behrendt, Finn; Becker, Benjamin Tobias; Maack, Lennart; Beyersdorff, Dirk; Petersen, Elina Larissa; Petersen, Marvin; Cheng, Bastian; Eggert, Dennis; Betz, Christian Stephan; Hoffmann, Anna Sophie; Schlaefer, Alexander
  International Journal of Computer Assisted Radiology and Surgery 19 (9): 1713–1721 (2024)
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• Can complex-valued neural networks improve force sensing with optical coherence tomography? - Conference Paper
  Mieling, Till Robin; Latus, Sarah; Behrendt, Finn; Bhattacharya, Debayan; Neidhardt, Maximilian; Schlaefer, Alexander
  21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
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• Diffusion models with ensembled structure-based anomaly scoring for unsupervised anomaly detection - Conference Paper
  Behrendt, Finn; Bhattacharya, Debayan; Maack, Lennart; Krüger, Julia; Opfer, Roland; Mieling, Till Robin; Schlaefer, Alexander
  21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
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• Automatische Segmentierung und Detektion von Vestibularisschwannomen im MRT durch Deep Learning - Conference Paper
  Häussler, Sophia; Schlaefer, Alexander; Betz, Christian Stephan; Della Seta, Marta; Battacharya, Debayan
  Laryngorhinootologie 103 (S 02): S17 (2024)
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• Validation and correlation with clinical data of a newly developed computer aided diagnostic system for the classification of paranasal anomalies in the maxillary sinus from MRI images - Conference Paper
  Becker, Benjamin Tobias; Bhattacharya, Debayan; Betz, Christian Stephan; Hoffmann, Anna Sophie
  Laryngorhinootologie 103 (S 02): S165 (2024)
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• Automatic segmentation and detection of Vestibular Schwannoma in MRI by Deep Learning - Conference Paper
  Häussler, Sophia; Schlaefer, Alexander; Betz, Christian Stephan; Della Seta Marta; Bhattacharya, Debayan
  Laryngorhinootologie 103(S 02): S169-S170 (2024)
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• Nodule detection and generation on chest X-rays: NODE21 challenge - Journal Article
  Sogancioglu, Ecem; Ginneken, Bram van; Behrendt, Finn; Bengs, Marcel; Schlaefer, Alexander; Radu, Miron; Xu, Di; Sheng, Ke; Scalzo, Fabien; Marcus, Eric; Papa, Samuele; Teuwen, Jonas; Scholten, Ernst Th.; Schalekamp, Steven; Hendrix, Nils; Jacobs, Colin; Hendrix, Ward; Sánchez, Clara I.; Murphy, Keelin
  IEEE Transactions on Medical Imaging 43 (8): 2839-2853 (2024)
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• Artifact: end-to-end multi-modal tiny-cnn for cardiovascular monitoring on sensor patches - Conference Paper
  Ibrahim, Mustafa Fuad Rifet; Alkanat, Tunc; Meijer, Maurice; Schlaefer, Alexander; Stelldinger, Peer
  IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024
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• End-to-end multi-modal tiny-CNN for cardiovascular monitoring on sensor patches - Conference Paper
  Ibrahim, Mustafa Fuad Rifet; Alkanat, Tunc; Meijer, Maurice; Schlaefer, Alexander; Stelldinger, Peer
  IEEE International Conference on Pervasive Computing and Communications, PerCom 2024
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• Weakly supervised Medulloblastoma tumor classification using domain specific patch-level feature extraction - Conference Paper
  Maack, Lennart; Bhattacharya, Debayan; Behrendt, Finn; Bockmayr, Michael; Schlaefer, Alexander
  SPIE Medical Imaging 2024
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• Convolutional transformer network for paranasal anomaly classification in the maxillary sinus - Conference Paper
  Bhattacharya, Debayan; Behrendt, Finn; Maack, Lennart; Becker, Benjamin Tobias; Beyersdorff, Dirk; Petersen, Elina Larissa; Petersen, Marvin; Cheng, Bastian; Eggert, Dennis; Betz, Christian Stephan; Hoffmann, Anna Sophie; Schlaefer, Alexander
  SPIE Medical Imaging 2024
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• Motion-compensated OCT imaging of laryngeal tissue - Conference Paper
  Latus, Sarah; Kulas, Marica; Sprenger, Johanna; Bhattacharya, Debayan; Breda, Philippe C.; Wittig, Lukas; Eixmann, Tim; Hüttmann, Gereon; Maack, Lennart; Eggert, Dennis; Betz, Christian Stephan; Schlaefer, Alexander
  SPIE Medical Imaging 2024
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• Robust stochastic optimization of needle configurations for robotic HDR prostate brachytherapy - Journal Article
  Gerlach, Stefan; Siebert, Frank André; Schlaefer, Alexander
  Medical Physics 51 (1): 464-475 (2024)
  Open Access | Publisher DOI
  
  
• Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection - Conference Paper
  Behrendt, Finn; Bhattacharya, Debayan; Mieling, Till Robin; Maack, Lennart; Krüger, Julia; Opfer, Roland; Schlaefer, Alexander
  Medical Image Computing and Computer Assisted Intervention, MICCAI 2024
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• Markerless motion compensation for image-guided robotic transcranial magnetic stimulation - Doctoral Thesis
  Rajput, Omer
  Technische Universität Hamburg (2023)
  
  
• Quantitative evaluation of activation maps for weakly-supervised lung nodule segmentation - Conference Paper
  Behrendt, Finn; Sonawane, Suyash; Bhattacharya, Debayan; Maack, Lennart; Krüger, Julia; Opfer, Roland; Schlaefer, Alexander
  SPIE Medical Imaging 2024
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• Deep learning methods for automated segmentation of medical ultrasound images - Doctoral Thesis
  Holstein, Lennart
  Technische Universität Hamburg (2024)
  Open Access
  
  
• VR-based Body Tracking for Homecare Training - Conference Paper
  Neidhardt, Maximilian; Latus, Sarah; Maack, Lennart; Gerlach, Stefan; Von Brackel, Felix; Busse, Björn; Schlaefer, Alexander
  Smart Healthy Environments Converence International Conference 2024
  
  
• Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope - Journal Article
  Neidhardt, Maximilian; Latus, Sarah; Eixmann, Tim; Hüttmann, Gereon; Schlaefer, Alexander
  IEEE Transactions on Medical Imaging (in Press): (2024)
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• Sliced online model checking for optimizing the beam scheduling problem in robotic radiation therapy - Conference Paper
  Beckers, Lars; Gerlach, Stefan; Lübke, Ole; Schlaefer, Alexander; Schupp, Sibylle
  6th Workshop on Models for Formal Analysis of Real Systems, MARS 2024
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Projekte

• NaviTip - Entwicklung der algorithmischen Trajektorienplanung innerhalb eines vordefinierten Arbeitsraumes im OP
  Bundesministerium für Wirtschaft und Klimaschutz (BMWK); Laufzeit 2025-2027
  Projektleitung: Schlaefer, Alexander
  
  
• KiMeKo - Aufbau einer norddeuschen KI-Med-Kollaborationsplattform
  Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR); Laufzeit 2024-2027
  Projektleitung: Ay, Nihat
  Co-Projektleitung: Schlaefer, Alexander
  
  
• MARLOC - Präzise, markerlose semantische Lageverfolgung von Weichgeweben
  Deutsche Forschungsgemeinschaft (DFG); Laufzeit 2024-2027
  Projektleitung: Schlaefer, Alexander
  
  
• SYNTRA - Einwicklung einer Pipeline für generative Modelle zur ungezielten Erzeugung von Bilddaten für Vor-Training, zur gezielten Synthese mit Patientenmerkenden und zur Generierung neuer Bilddaten auf Basis von Referenzbildern
  Bundesministerium für Wirtschaft und Klimaschutz (BMWK); Laufzeit 2023-2025
  Projektleitung: Schlaefer, Alexander
  
  
• SustAInLivWork - Centre of Excellence of Al for Sustainable Living and Working
  European Commission; Laufzeit 2023-2029
  Projektleitung: Schlaefer, Alexander
  
  
• GRK : Teilprojekt Innovative Technologien in der Krebsdiagnostik und -therapie
  Deutsche Forschungsgemeinschaft (DFG); Laufzeit 2023-2024
  Projektleitung: Schlaefer, Alexander
  Mitarbeitende: Bhattacharya, Debayan
  
  
• ACE - Accelerating the Home Care Innovation Ecosystem of the Future in the North Sea Region
  European Commission; Laufzeit 2023-2026
  Projektleitung: Schlaefer, Alexander
  
  
• Digitalisierung postmortaler Biopsien (LOM)
  Behörde für Wissenschaft, Forschung und Gleichstellung; Laufzeit 2022-2024
  Projektleitung: Neidhardt, Maximilian
  
  
• Zeitbeschränktes Model-Checking und verifikationsbewusster Systementwurf für medizinische cyber-physikalische Systeme
  Deutsche Forschungsgemeinschaft (DFG); Laufzeit 2021-2025
  Projektleitung: Schlaefer, Alexander; Schupp, Sibylle
  
  
• ICCIR - I³-Project - Interdisciplinary Competence Center for Interface Research
  Technische Universität Hamburg; Laufzeit 2020-2024
  Projektleitung: Schlaefer, Alexander; Knopp, Tobias
  
  

Kooperationspartner

• Europäisches Cyberknife Zentrum München
• Universität zu Lübeck
• jung diagnostics GmbH
• Universitätsklinikum Schleswig-Holstein, Campus Lübeck
• Martini-Klinik am UKE GmbH
• Universitätsklinikum Schleswig-Holstein, Campus Kiel
• Philips GmbH Innovative Technologies
• Universitätsklinikum Hamburg-Eppendorf (UKE)
• ATLAS medical technologies GmbH