Papers matching “deep learning segmentation” 48
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Deep learning-based auto-segmentation of paraganglioma for growth monitoring2024 SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment conference-paper Computer Science Medical Image Segmentation Techniques Open access
Evi Sijben, Jeroen C. Jansen, Mischa de Ridder, Peter A. N. Bosman, Tanja Alderliesten
2citations -
Comparison of Deep Learning Architectures in Ultrasonic Quality Control for Resistance Spot Welding Using Semantic Segmentation2025 Lecture notes in production engineering conference-paper Engineering Industrial Vision Systems and Defect Detection
Lukas Behnen, Hendrik Baacke, Alexander Keuper, Michael Riesener, Günther Schuh, Ryan Scott, +2 more
1citations -
Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation2022 Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society conference-paper Computer Science Advanced Neural Network Applications
Long Chen, Martin Strauch, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Dorit Merhof
2citations -
Tranfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on Lidar Data2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) conference-paper Earth and Planetary Sciences Archaeological Research and Protection
Gregory Sech, Paolo Soleni, Wouter Verschoof‐van der Vaart, Žiga Kokalj, Arianna Traviglia, Marco Fiorucci
3citations -
Automated Carbonate Reservoir Pore and Fracture Classification by Multiscale Imaging and Deep Learning2021 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Jop Klaver, Joyce Schmatz, Rongjin Wang, Mingming Jiang, Lucas M. Kleipool, Antonino Cilona, +1 more
1citations -
OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound
Anantharaman Ramasamy, Hessam Sokooti, Xiaotong Zhang, Evangelia Tzorovili, Retesh Bajaj, Pieter H. Kitslaar, +12 more
0citations -
Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT2020 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Medical Image Segmentation Techniques Open access cited by 4 patents
Mohamed S. Elmahdy, Tanuj Ahuja, Uulke A. van der Heide, Marius Staring
18citations -
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations2023 Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands conference-paper Computer Science Medical Image Segmentation Techniques Open access
M. (Monika) Grewal, D.A.G. (Dustin) van Weersel, H. Westerveld, P.A.N. (Peter) Bosman, T. (Tanja) Alderliesten
0citations -
From Diagnostic CT to DTI Tractography Labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage2025 Lecture notes in computer science conference-paper Medicine Intracerebral and Subarachnoid Hemorrhage Research
Olivia N Murray, Hamied A. Haroon, Paul Ryu, Hiren C. Patel, George Harston, Marieke J.H. Wermer, +6 more
2citations -
Mutual information for unsupervised deep learning image registration2020 SPIE Medical Imaging: Image Processing conference-paper Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Bob D. de Vos, Bas van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Išgum
35citations -
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View108citations
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Unsupervised Segmentation of High-Throughput Zebrafish Images Using Deep Neural Networks and Transformers2023 Communications in computer and information science conference-paper Computer Science Medical Image Segmentation Techniques
Shima Javanmardi, Xiaoqin Tang, Mehrdad Jahanbanifard, Fons J. Verbeek
2citations -
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images2021 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, +6 more
1citations -
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty2022 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques
Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Marius Staring
4citations -
Optimization of hepatic vasculature segmentation from contrast-enhanced MRI, exploring two 3D Unet modifications and various loss functions3citations