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ORCID13th BIOSTEC BIOIMAGING 2020: Valletta, Malta
- Filipe Soares, Ana L. N. 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, Ioannis D. Schizas:
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, Sophie Blundell, Olivia Etter, Yunhui Xie, Michael D. T. McDonnell, Matthew Praeger, James A. Grant-Jacob, Robert W. Eason, Rohan M. Lewis, Ben Mills:
Automated 3D Labelling of Fibroblasts and Endothelial Cells in SEM-Imaged Placenta using Deep Learning. 46-53 - Andrés Felipe Soler, Eduardo Giraldo, Marta Molinas:
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, Vismantas Dilys, Jan Paul Siebert, Kevin G. Blyth:
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, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino:
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, Alexandre Douplik:
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, Donato Cascio, Leonardo Abbene, Giuseppe Raso:
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, Donal McLaughlin, David Steele, Sara McNamee, Brian MacNamee, Patrick Cullen, Dewar D. Finlay, James McLaughlin:
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, Ihor Pavlov, Çagdas Devrim Son, Alpan Bek:
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, Stefano Franceschini, Fabio Baselice, Vito Pascazio:
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
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