Search Results - "Sellner, Jan"
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Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Published in Scientific reports (30-06-2022)“…Visual discrimination of tissue during surgery can be challenging since different tissues appear similar to the human eye. Hyperspectral imaging (HSI) removes…”
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ICG-augmented hyperspectral imaging for visualization of intestinal perfusion compared to conventional ICG fluorescence imaging: an experimental study
Published in International journal of surgery (London, England) (01-12-2023)“…Small bowel malperfusion (SBM) can cause high morbidity and severe surgical consequences. However, there is no standardized objective measuring tool for the…”
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The SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA) for video-rate functional imaging of the skin
Published in Scientific data (25-05-2024)“…Spectral imaging has the potential to become a key technique in interventional medicine as it unveils much richer optical information compared to conventional…”
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HeiPorSPECTRAL - the Heidelberg Porcine HyperSPECTRAL Imaging Dataset of 20 Physiological Organs
Published in Scientific data (24-06-2023)“…Hyperspectral Imaging (HSI) is a relatively new medical imaging modality that exploits an area of diagnostic potential formerly untouched. Although exploratory…”
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Robust deep learning-based semantic organ segmentation in hyperspectral images
Published in Medical image analysis (01-08-2022)“…•First study of optimal input modality and spatial granularity for organ segmentation.•Validation set of unprecedented size featuring 506 images annotated with…”
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Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging
Published in International journal for computer assisted radiology and surgery (2024)“…Purpose Surgical scene segmentation is crucial for providing context-aware surgical assistance. Recent studies highlight the significant advantages of…”
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Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports
Published in Radiology. Artificial intelligence (01-09-2022)“…PurposeTo train a deep natural language processing (NLP) model, using data mined structured oncology reports (SOR), for rapid tumor response category (TRC)…”
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Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery
Published in Science advances (10-03-2023)“…Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various…”
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Crystalloid volume versus catecholamines for management of hemorrhagic shock during esophagectomy - assessment of microcirculatory tissue oxygenation of the gastric conduit in a porcine model using hyperspectral imaging - an experimental study
Published in International journal of surgery (London, England) (08-07-2024)“…Oncologic esophagectomy is a two-cavity procedure with considerable morbidity and mortality. Complex anatomy and the proximity to major vessels constitute a…”
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Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study
Published in JMIR medical informatics (03-02-2021)“…Natural Language Understanding enables automatic extraction of relevant information from clinical text data, which are acquired every day in hospitals. In…”
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Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images
Published 27-08-2024“…Robust semantic segmentation of intraoperative image data holds promise for enabling automatic surgical scene understanding and autonomous robotic surgery…”
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Deep intra-operative illumination calibration of hyperspectral cameras
Published 11-09-2024“…Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications. Currently available cameras,…”
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Semantic segmentation of surgical hyperspectral images under geometric domain shifts
Published 20-03-2023“…Robust semantic segmentation of intraoperative image data could pave the way for automatic surgical scene understanding and autonomous robotic surgery…”
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Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
Published 15-10-2024“…Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learning-based (ML) analysis, have the potential to revolutionize…”
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New spectral imaging biomarkers for sepsis and mortality in intensive care
Published 19-08-2024“…With sepsis remaining a leading cause of mortality, early identification of septic patients and those at high risk of death is a challenge of high…”
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Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
Published 07-10-2022“…In clinical radiology reports, doctors capture important information about the patient's health status. They convey their observations from raw medical imaging…”
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Unsupervised Domain Transfer with Conditional Invertible Neural Networks
Published 17-03-2023“…Synthetic medical image generation has evolved as a key technique for neural network training and validation. A core challenge, however, remains in the domain…”
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Robust deep learning-based semantic organ segmentation in hyperspectral images
Published 10-07-2022“…Medical Image Analysis, Volume 80, 2022, 102488, ISSN 1361-8415 Semantic image segmentation is an important prerequisite for context-awareness and autonomous…”
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Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis
Published 15-06-2021“…Sepsis is a leading cause of mortality and critical illness worldwide. While robust biomarkers for early diagnosis are still missing, recent work indicates…”
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