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ORCID15th BIOSTEC BIOIMAGING 2022
- Denis Gracanin, Ana Fred, Hugo Gamboa:
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022, Volume 2: BIOIMAGING, Online Streaming, February 9-11, 2022. SCITEPRESS 2022, ISBN 978-989-758-552-4
Invited Speakers
- Federico Cabitza:
Wirewalking over Two Medical AI Chasms: Results and Open Problems in Making "Valid AI" Also Useful in Medical Practice. BIOSTEC 2022: 5 - Katja Bühler:
On Trust and Trustworthiness of Interpretable AI Methods for Decision Support in Radiology. BIOSTEC 2022: 7 - Ana Rita Londral:
Value-based Healthcare: Contributions from Biomedical Engineering. BIOSTEC 2022: 9
Papers
- Constantinos G. Loukas
, Athanasios Gazis, Dimitrios Schizas:
A Multiple-instance Learning Approach for the Assessment of Gallbladder Vascularity from Laparoscopic Images. 15-23 - Tibor Kubík, Michal Spanel:
Robust Teeth Detection in 3D Dental Scans by Automated Multi-view Landmarking. 24-34 - Gabrielle Fontaine, Peter Lindstrom, Stephen Pistorius:
Neural Network PET Reconstruction using Scattered Data in Energy-dependent Sinograms. 35-42 - Sébastien Jodogne:
Rendering Medical Images using WebAssembly. 43-51 - Chaymaa Lahmar, Ali Idri:
Classifying Diabetic Retinopathy using CNN and Machine Learning. 52-62 - João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Ana Maria Mendonça, Aurélio Campilho:
Automatic Label Detection in Chest Radiography Images. 63-69 - Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino, Alzheimer's Disease Neuroimaging Initiative:
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. 70-79 - Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Nuno Matela:
Detection of Microcalcifications in Digital Breast Tomosynthesis using Faster R-CNN and 3D Volume Rendering. 80-89 - Benjamin Bracke, Klaus Brinker:
U-Net based Semantic Segmentation of Kidney and Kidney Tumours of CT Images. 93-102 - Tabea Margareta Grace Pakull, Frederike Wirth, Klaus Brinker:
Random-walk Segmentation of Nuclei in Fluorescence Microscopic Images with Automatic Seed Detection. 103-110 - Jakub Nemcek, Tomás Vicar, Roman Jakubícek:
Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization. 111-116 - Atef Alreni, Galina Momcheva, Stoyan Pavlov:
Voronoi Diagrams and Perlin Noise for Simulation of Irregular Artefacts in Microscope Scans. BIOIMAGING 2022: 117-122 - Eliott Simon, Alexia Briassouli:
Vision Transformers for Brain Tumor Classification. 123-130 - Gurbandurdy Dovletov, Duc Duy Pham, Josef Pauli, Marcel Gratz, Harald H. Quick:
Improved MRI-based Pseudo-CT Synthesis via Segmentation Guided Attention Networks. 131-140 - Vijaya Kamble, Rohin D. Daruwala:
3D MRI Image Segmentation using 3D UNet Architectures: Technical Review. 141-146 - Gennadi Saiko:
Callus Thickness Determination Adjuvant to Tissue Oximetry Imaging. 147-152 - Timothy Burton, Gennadi Saiko, Alexandre Douplik:
Remote PPG Imaging by a Consumer-grade Camera under Rest and Elevation-invoked Physiological Stress Reveals Mayer Waves and Venous Outflow. 153-159 - Sara El-Ateif, Ali Idri:
COVID-19 Diagnosis using Single-modality and Joint Fusion Deep Convolutional Neural Network Models. 160-167 - Ninad Anklesaria, Yashvi Malu, Dhyey Nikalwala, Urmi Pathak, Jinal Patel, Nirali R. Nanavati, Preethi Srinivasan, Arnav Bhavsar:
Multi Modality Medical Image Translation for Dicom Brain Images. 168-173 - Andrés Felipe Soler, Eduardo Giraldo, Lars Lundheim, Marta Molinas:
Relevance-based Channel Selection for EEG Source Reconstruction: An Approach to Identify Low-density Channel Subsets. 174-183 - Naoya Wada, Masaya Kobayashi:
Unsupervised Image-to-Image Translation from MRI-based Simulated Images to Realistic Images Reflecting Specific Color Characteristics. 184-189 - Yongjian Yu, Jue Wang:
Automatic Detection and Identification of Trichomonas Vaginalis from Fluorescence Microscopy Images. 190-197
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