default search action
Bildverarbeitung für die Medizin 2020: Berlin, Germany
- Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas K. Maier
, Klaus H. Maier-Hein, Christoph Palm:
Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin. Informatik Aktuell, Springer 2020, ISBN 978-3-658-29266-9 - Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl
Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. 1-7 - Roman Spilger, Tobias Schwackenhofer, Charlotte Kaspar, Ilka B. Bischofs
Deep Segmentation of Bacteria at Different Stages of the Life Cycle. 8-13 - Maximilian Weiherer, Martin Zorn, Thomas Wittenberg, Christoph Palm
Retrospective Color Shading Correction for Endoscopic Images. 14-19 - Markus Bauer
Neural Network for Analyzing Prostate Cancer Tissue Microarrays. 20-25 - Christian Marzahl
Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides? 26-31 - Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
Abstract: Defence of Mathematical Models for Deep Learning based Registration. 32 - Weilin Fu, Katharina Breininger
Degenerating U-Net on Retinal Vessel Segmentation. 33-38 - Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel
COPD Classification in CT Images Using a 3D Convolutional Neural Network. 39-45 - Oliver Mietzner, André Mastmeyer:
Automatische Detektion von Zwischenorgan-3D-Barrieren in abdominalen CT-Daten. 46-51 - Ibraheem Al-Dhamari
Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points. 52 - Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr:
Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks. 53-54 - Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen
Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans. 55-60 - Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra:
Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks. 61-66 - Jennifer Maier, Luis Carlos Rivera Monroy
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT. 67-72 - Malte Jauer, Saksham Goel, Yash Sharma, Thomas M. Deserno
Abstract: WeLineation. 73 - Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M. B. Breteler, Martin Reuter:
Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. 74 - Ching-Sheng Chang, Jin-Fa Lin, Ming-Ching Lee, Christoph Palm
Semantic Lung Segmentation Using Convolutional Neural Networks. 75-80 - Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus H. Maier-Hein, Amir Abdollahi, Marco Nolden, Ralf Floca:
Abstract: MITK-ModelFit. 81 - Lennart Husvogt, Stefan B. Ploner, Daniel Stromer, Julia Schottenhamml, Eric Moult, James G. Fujimoto, Andreas K. Maier:
Compressed Sensing for Optical Coherence Tomography Angiography Volume Generation. 82-87 - Florian Hennig, Florian Pfiz, Diana Mîndroc-Filimon
Reproduzierbare Kalibrierung von elektromagnetischen Feldverzerrungen. 88-93 - Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation. 94-100 - Wolfgang Reiter
Video Anomaly Detection in Post-Procedural Use of Laparoscopic Videos. 101-106 - Chandrakanth Jayachandran Preetha, Hendrik Mattern
Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI. 107-112 - Philipp Roser
Tenfold your Photons. 113-118 - Jule Steinert, Thomas Wittenberg
CT-Based Non-Destructive Quantification of 3D-Printed Hydrogel Implants. 119-124 - Philipp Roser
Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation. 125-130 - Nadine Kuhnert, Lea Pflüger, Andreas K. Maier:
Prediction of MRI Hardware Failures based on Image Features Using Time Series Classification. 131-136 - Nadine Kuhnert, Lea Pflüger, Andreas K. Maier:
Prediction of MRI Hardware Failures Based on Image Features Using Ensemble Learning. 137-142 - Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich
Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes. 143 - Azeem Bootwala, Katharina Breininger
Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. 144-149 - Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Multitask-Learning for the Extraction of Avascular Necrosis of the Femoral Head in MRI. 150-155 - Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier, Rebecca Fahrig, Arya Nabavi, Christoph Bert, Ilker Eyüpoglo, Andreas K. Maier:
Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process. 156-162 - Annkristin Lange
Intensity-Based 2D-3D Registration Using Normalized Gradient Fields. 163-168 - Alexander Preuhs, Michael Manhart, Philipp Roser
Deep Autofocus with Cone-Beam CT Consistency Constraint. 169-174 - Alessa Hering, Stefan Heldmann:
Abstract: mlVIRNET. 175 - Florian Kordon
Font Augmentation. 176-182 - Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann, Johann Roider, Mattias P. Heinrich
Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning. 183 - Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka, Josef Pfeuffer, Heiko Meyer, Andreas K. Maier:
Abstract: RinQ Fingerprinting. 184 - Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath
Abstract: Learning to Avoid Poor Images. 185 - Yixing Huang
Field of View Extension in Computed Tomography Using Deep Learning Prior. 186-191 - Maximilian Blendowski, Mattias P. Heinrich
Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data. 192 - Felix Denzinger, Michael Wels, Katharina Breininger
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. 193-198 - David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus H. Maier-Hein:
Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. 199 - Felix Denzinger, Michael Wels, Katharina Breininger
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. 200 - Hristina Uzunova, Paul Kaftan
Quantitative Comparison of Generative Shape Models for Medical Images. 201-207 - Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter:
Abstract: FastSurfer. 208 - Benjamin Behrendt, Samuel Voß, Oliver Beuing, Bernhard Preim, Philipp Berg
VICTORIA. 209-214 - Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein
Abstract: Deep Probabilistic Modeling of Glioma Growth. 215 - Leonie Henschel
Parameter Space CNN for Cortical Surface Segmentation. 216-221 - Roman Schaffert, Markus Weiß, Jian Wang, Anja Borsdorf, Andreas K. Maier:
Learning-Based Correspondence Estimation for 2-D/3-D Registration. 222-228 - Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy. 229 - Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier:
Learning-Based Misalignment Detection for 2-D/3-D Overlays. 230-235 - Hanna Siebert, Mattias P. Heinrich
Deep Groupwise Registration of MRI Using Deforming Autoencoders. 236-241 - Marcin Kopaczka, Tobias Jacob, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss. 242-247 - Julian Hossbach, Lennart Husvogt, Martin F. Kraus, James G. Fujimoto, Andreas K. Maier:
Deep OCT Angiography Image Generation for Motion Artifact Suppression. 248-253 - Merlin A. Nau
Open Source Simulation of Fixational Eye Drift Motion in OCT Scans. 254-259 - Florian Kordon
Abstract: Multi-Task Framework for X-Ray Guided Planning in Knee Surgery. 260 - Sonja Jäckle, Verónica García-Vázquez
Abstract: 3D Catheter Guidance Including Shape Sensing for Endovascular Navigation. 261 - Hakan Calim, Andreas K. Maier:
Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation. 262-267 - Shyamalakshmi Haridasan, Bernhard Preim, Christian Nasel, Gabriel Mistelbauer:
Visualizing the Placental Energy State in Vivo. 268-273 - Weilin Fu, Lennart Husvogt, Stefan B. Ploner, James G. Fujimoto, Andreas K. Maier:
Modularization of Deep Networks Allows Cross-Modality Reuse. 274-279 - Duc Duy Pham, Melanie Lausen
U-Net in Constraint Few-Shot Settings. 280-285 - Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels
Abstract: Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images. 286 - Sebastian Gündel, Andreas K. Maier:
Epoch-Wise Label Attacks for Robustness Against Label Noise. 287-292 - Christof A. Bertram, Marc Aubreville, Christian Marzahl
Abstract: How Big is Big Enough? 293 - Ron Keuth
Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung. 294-300 - Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar
Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. 301-306 - Martin Dyrba, Arjun H. Pallath, Eman N. Marzban:
Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease. 307-312 - Weilin Fu, Katharina Breininger
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. 313 - Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt
Abstract: Fiber Optical Shape Sensing of Flexible Instruments. 314 - Daniel Bug, Felix Bartsch, Nadine Sarah Schaadt
Scalable HEVC for Histological Whole-Slide Image Compression. 315-321 - Daniel Bug, Gregor Nickel, Anne Grote, Friedrich Feuerhake, Eva Oswald, Julia Schüler, Dorit Merhof:
Image Quilting for Histological Image Synthesis. 322-327 - Alfred M. Franz, Benjamin Johannes Mittmann, J. Röser, B. Schmidberger, M. Meinke, Philippe L. Pereira, Hans-Ulrich Kauczor, G. M. Richter, Christof M. Sommer:
An Open-Source Tool for Automated Planning of Overlapping Ablation Zones. 328-334 - Christoph Luckner, Magdalena Herbst, Michael Fuhrmann, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Combining 2-D and 3-D Weight-Bearing X-Ray Images. 335-340 - Sandy Engelhardt, Lalith Sharan
Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training. 341 - Thomas Eixelberger, Jonas Parchent, Rolf Janka, Marc Stamminger, Michael Döllinger
Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx. 342-347
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-18 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: