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ORCID11th BIOSTEC BIOIMAGING 2018: Funchal, Portugal
- Sheldon Wiebe, Hugo Gamboa, Ana L. N. Fred, Sergi Bermúdez i Badia:
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING, Funchal, Madeira, Portugal, January 19-21, 2018. SciTePress 2018, ISBN 978-989-758-278-3
Papers
- Yasser Alzamil
, Yulia Hicks, Xin Yang, Christopher Marshall:
Optimising Graphical Techniques Applied to Irreversible Tracers. 17-26 - Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. 27-34 - Bashir I. Dodo, Yongmin Li, Khalid Eltayef, Xiaohui Liu:
Graph-Cut Segmentation of Retinal Layers from OCT Images. 35-42 - Assem Hedayat, Pengyu Wu:
EndoCal 10 Obturation Voids in Root Canal and Isthmus of a Human Premolar: A Synchrotron micro-CT Imaging Study. 43-49 - Faraj Alhwarin, Stefan Schiffer, Alexander Ferrein, Ingrid Scholl:
Optimized KinectFusion Algorithm for 3D Scanning Applications. 50-57 - Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. 58-66 - Matsilele Mabaso, Daniel Withey, Bhekisipho Twala:
Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach. 67-74 - Gustavo Casagrande de Oliveira, Renato Varoto, Alberto Cliquet Junior:
Brain Tumor Segmentation in Magnetic Resonance Images using Genetic Algorithm Clustering and AdaBoost Classifier. 77-82 - Wojciech Biniek, Edward Puchala, Maria Bujnowska-Fedak:
The Face Recognition Processes - Neurofuzzy Approach. 83-88 - James M. Sloan, Keith A. Goatman, J. Paul Siebert:
Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration. 89-99 - Taha Jerbi, Aaron Velez Ramirez, Dominique Van Der Straeten:
Robust Plant Segmentation from Challenging Background with a Multiband Acquisition and a Supervised Machine Learning Algorithm. BIOIMAGING 2018: 100-105 - Adam Chromy:
Multispectral 3D Surface Scanning System RoScan and its Application in Inflammation Monitoring and Quantification. 106-113 - Marta Danch-Wierzchowska, Damian Borys, Andrzej Swierniak:
Algorithm for Simple Automated Breast MRI Deformation Modelling. 114-119 - Aleksandr Yu. Efimtsev, Bogdan Litvintcev, Andrei V. Sokolov, Anton Petrov, Olga Shemchuk, Nikolai N. Semibratov, Vladimir A. Fokin:
Internet Addiction: Features of Neuroimaging Diagnosis. BIOIMAGING 2018: 120-123 - Oldrich Kodym, Michal Spanel:
Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. 124-131 - Vladimir S. Kublanov, Konstantin Purtov, Mikhail Kontorovich:
Video-based Patient Monitoring System - Application of the System in Intensive Care Unit. 132-139 - Masato Ito, Fumihiko Ino:
An Automated Method for Generating Training Sets for Deep Learning based Image Registration. 140-147 - Edward Kijak:
Efficacy of Beam Computer Tomography (CBCT) in Diagnosis of Disease Lesions in Paranasal Sinuses. 148-152 - Kuei-Ting Chou, Kujtim Latifi, Eduardo G. Moros, Vladimir Feygelman, Tzung-Chi Huang, Thomas J. Dilling, Bradford Perez, Geoffrey G. Zhang:
Evaluation of Radiomic Features Stability When Deformable Image Registration Is Applied. 153-158 - Ankur Deka, Yuji Iwahori, Manas Kamal Bhuyan, Pradipta Sasmal, Kunio Kasugai:
Dense 3D Reconstruction of Endoscopic Polyp. 159-166 - Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
CNN based Mitotic HEp-2 Cell Image Detection. 167-174
Special Session on Knowledge Acquisition and Learning in Semantic Interpretation of Medical Image Structures
- Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. 179-187 - Arkadiusz Tomczyk, Bartlomiej Stasiak, Pawel Tarasiuk, Anna Gorzkiewicz, Anna Walczewska, Piotr S. Szczepaniak:
Localization of Neuron Nucleuses in Microscopy Images with Convolutional Neural Networks. 188-196 - Andrea Asperti, Claudio Mastronardo:
The Effectiveness of Data Augmentation for Detection of Gastrointestinal Diseases from Endoscopical Images. 199-205
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