Search Results - "Kepp, Timo"
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MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?
Published in NeuroImage clinical (01-01-2017)“…Magnetic resonance imaging (MRI) has become key in the diagnosis and disease monitoring of patients with multiple sclerosis (MS). Both, T2 lesion load and…”
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Image registration and appearance adaptation in non-correspondent image regions for new MS lesions detection
Published in Frontiers in neuroscience (07-09-2022)“…Manual detection of newly formed lesions in multiple sclerosis is an important but tedious and difficult task. Several approaches for automating the detection…”
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Analysis of OCT Scanning Parameters in AMD and RVO
Published in Diagnostics (Basel) (29-02-2024)“…Optical coherence tomography (OCT) is an extensively used imaging tool for disease monitoring in both age-related macular degeneration (AMD) and retinal vein…”
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Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
Published in International journal for computer assisted radiology and surgery (01-04-2022)“…Purpose The registration of medical images often suffers from missing correspondences due to inter-patient variations, pathologies and their progression…”
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Self-Examination Low-Cost Full-Field Optical Coherence Tomography (SELFF-OCT) for neovascular age-related macular degeneration: a cross-sectional diagnostic accuracy study
Published in BMJ open (01-06-2022)“…ObjectivesSelf-Examination Low-Cost Full-Field Optical Coherence Tomography (SELFF-OCT) is a novel OCT technology that was specifically designed for home…”
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Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
Published in 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (27-05-2024)“…For a unified analysis of medical images from different modalities, data harmonization using image-to-image (I2I) translation is desired. We study this problem…”
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Conference Proceeding -
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Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks
Published in Biomedical optics express (01-07-2019)“…Optical coherence tomography (OCT) enables the non-invasive acquisition of high-resolution three-dimensional cross-sectional images at micrometer scale and is…”
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Atlas based brain volumetry: How to distinguish regional volume changes due to biological or physiological effects from inherent noise of the methodology
Published in Magnetic resonance imaging (01-05-2016)“…Abstract Fully-automated regional brain volumetry based on structural magnetic resonance imaging (MRI) plays an important role in quantitative neuroimaging. In…”
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Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment
Published in Journal of Alzheimer's disease (01-01-2016)“…MRI-based hippocampus volume, a core feasible biomarker of Alzheimer's disease (AD), is not yet widely used in clinical patient care, partly due to lack of…”
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Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks
Published in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (01-04-2019)“…Optical coherence tomography (OCT) is a non-invasive imaging modality that provides cross-sectional 3D images of biological tissue. Especially in ophthalmology…”
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Conference Proceeding -
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LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas
Published 06-06-2024“…Machine.Learning.for.Biomedical.Imaging. 2 (2024) The evaluation of lymph node metastases plays a crucial role in achieving precise cancer staging, influencing…”
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Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
Published 08-04-2024“…For a unified analysis of medical images from different modalities, data harmonization using image-to-image (I2I) translation is desired. We study this problem…”
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13
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
Published 23-01-2020“…The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is…”
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