default search action
13th BIOSTEC BIOIMAGING 2020: Valletta, Malta
- Filipe Soares, Ana Fred, Hugo Gamboa:
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING, Valletta, Malta, February 24-26, 2020. SCITEPRESS 2020, ISBN 978-989-758-398-8
Invited Speakers
- Roy A. Ruddle:
Visualizing Health Data - From Fundamental Research to Successful Applications. BIOSTEC 2020: 5 - Helena Canhão:
Patient Innovation - When Patients Innovate and Improve Their Lives. BIOSTEC 2020: 7 - Eduardo Aguilar, Bhalaji Nagarajan
, Rupali Khatun, Marc Bolaños, Petia Radeva:
Uncertainty Modeling and Deep Learning Applied to Food Image Analysis. 9-16 - Andreas Holzinger:
Towards Robust Machine Learning in the Medical Domain. BIOSTEC 2020: 17
Papers
- Rafia Rafique, Tae Jung Park:
Photoluminescent Imaging for an Effective Cancer Diagnosis using Upconversion Nanoparticles. 23-27 - Constantinos G. Loukas
Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning. 28-36 - Patricio Astudillo, Peter Mortier, Matthieu De Beule, Francis Wyffels:
Curriculum Deep Reinforcement Learning with Different Exploration Strategies: A Feasibility Study on Cardiac Landmark Detection. 37-45 - Benita S. Mackay
Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. 46-53 - Andrés Felipe Soler
Low-density EEG for Source Activity Reconstruction using Partial Brain Models. 54-63 - Owen Anderson, Andrew C. Kidd, Keith A. Goatman, Alexander J. Weir, Jeremy Voisey
Fully Automated Volumetric Measurement of Malignant Pleural Mesothelioma from Computed Tomography Images by Deep Learning: Preliminary Results of an Internal Validation. 64-73 - Samuel Botter Martins, Alexandre X. Falcão, Alexandru C. Telea:
BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification. 74-81 - Lucia Maddalena
Glioma Grade Classification via Omics Imaging. 82-92 - Pedro Furtado:
Segmentation of Diabetic Retinopathy Lesions by Deep Learning: Achievements and Limitations. 95-101 - Pedro Furtado:
Food Recognition: Can Deep Learning or Bag-of-Words Match Humans? 102-108 - Ryan Fisher, Vikas Jain, Jonathan Glaab, Aubrey McMillan:
Comparison of Gadolinium Contrast Agent Retention in Patients Receiving Multiple Contrast-enhanced MRI Exams. 109-115 - Kevin Raina, Uladzimir Yahorau, Tanya Schmah:
Exploiting Bilateral Symmetry in Brain Lesion Segmentation with Reflective Registration. 116-122 - Gennadi Saiko
Extraction of Intrinsic Fluorescence in Fluorescence Imaging of Turbid Tissues. 123-129 - Gennadi Saiko, Alexandre Douplik:
Water-sensitive Gelatin Phantoms for Skin Water Content Imaging. 130-134 - Hannah Janout, Bianca Buchegger, Andreas Haghofer, Dominic Hoeglinger, Jaroslaw Jacak, Stephan M. Winkler, Armin Hochreiner:
PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian. 135-142 - Vincenzo Taormina
HEp-2 Intensity Classification based on Deep Fine-tuning. 143-149 - Sergio Cerón-Escutia, Axayácatl Morales-Guadarrama, Silvia B. González-Brambila, David Vidal-García:
3D Printed Human Foot Splint, Designed from MRI of the Luffa Cylindrica Dried Fruit. 150-155 - Maria Narciso, Ana Isabel Sousa, Fernando Crivellaro, Rui Valente de Almeida, António Ferreira, Pedro Vieira
Left Ventricle Computational Model based on Patients Three-dimensional MRI. 156-163 - Frederike Wirth, Eva-Maria Brinkmann, Klaus Brinker:
On Benchmarking Cell Nuclei Segmentation Algorithms for Fluorescence Microscopy. 164-171 - Kevin Raina:
Modelling Brain Lesion Volume in Patches with CNN-based Poisson Regression. 172-176 - Min Jing
Detection and Categorisation of Multilevel High-sensitivity Cardiovascular Biomarkers from Lateral Flow Immunoassay Images via Recurrent Neural Networks. 177-183 - Rocco Lamastra, Patrizio Barca, Maria Giuseppina Bisogni, Davide Caramella, V. Rosso, Raffaele M. Tucciariello, Antonio C. Traino, Maria Evelina Fantacci
Image Quality Comparison between Synthetic 2D Mammograms Obtained with 15º and 40º X-ray Tube Angular Range: A Quantitative Phantom Study. 184-191 - Sara Mingu
The Behaviour of Neuro-2A Cells on Silicon Substrates with Various Topographies Generated by Femtosecond Laser Micromachining. 192-199 - Mohamed Boutaayamou, Delphine Cerica, Jacques G. Verly:
Terahertz Reflection Imaging of Paraffin-embedded Human Breast Cancer Samples: Some First Results. 200-203 - Michele Ambrosanio
Artificial Neural Networks for Quantitative Microwave Breast Imaging. 204-208 - Khurshedjon Farkhodov, Suk-Hwan Lee, Ki-Ryong Kwon:
Object Tracking using CSRT Tracker and RCNN. 209-212 - Dusan Drevický, Oldrich Kodym:
Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization. 213-220
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 2024-11-15 19:44 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: