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ORCID12th BIOSTEC BIOIMAGING 2019: Prague, Czech Republic
- Arkadiusz Tomczyk, Ana L. N. Fred, Hugo Gamboa:
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING, Prague, Czech Republic, February 22-24, 2019. SciTePress 2019
Invited Speakers
- Hossam Haick:
Non-Invasive Disease Diagnosis using Wearable Sensing Technologies. BIOSTEC 2019: 5 - Andrés Díaz Lantada:
Project based Learning and Biomedical Devices: The UBORA Approach towards an International Community of Developers Focused on Open Source Medical Devices. BIOSTEC 2019: 7-13 - Henrique Martins:
Ehealth in Portugal and EU. BIOSTEC 2019: 15-16
Papers
- Constantinos G. Loukas
:
Surgical Phase Recognition of Short Video Shots based on Temporal Modeling of Deep Features. 21-29 - Marc Aubreville, Christof A. Bertram, Robert Klopfleisch, Andreas Maier:
Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks. 30-37 - Birgit Möller, Martin Schattat:
Quantification of Stromule Frequencies in Microscope Images of Plastids Combining Ridge Detection and Geometric Criteria. 38-48 - Bashir I. Dodo, Yongmin Li, Xiaohui Liu, Muhammad Isa Dodo:
Level Set Segmentation of Retinal OCT Images. 49-56 - Jagoda Lazarek, Piotr S. Szczepaniak:
Shape Recognition in High-level Image Representations: Data Preparation and Framework of Recognition Method. 57-64 - Xiaoqin Tang, Gerda Lamers, Fons J. Verbeek:
3D Image Deblur using Point Spread Function Modelling for Optical Projection Tomography. 67-75 - Arata Andrade Saraiva, D. B. S. Santos, Nator Junior C. Costa, José Vigno M. Sousa, Nuno M. Fonseca Ferreira, António Valente, Salviano Soares:
Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks. 76-83 - Pedro M. M. Pereira, Luis M. N. Tavora, Rui Fonseca-Pinto, Rui Pedro Paiva, Pedro A. Amado Assunção, Sérgio M. M. de Faria:
Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation. 84-91 - Jia Qu, Nobuyuki Hiruta, Kensuke Terai, Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi:
Enhanced Deep Learning for Pathology Image Classification: A Knowledge Transfer based Stepwise Fine-tuning Scheme. 92-99 - Ji-Hun Jo, Hyung-Sik Kim, Soon-Cheol Chung, Mi-Hyun Choi:
BOLD Signal Change during Driving with Addition Task using fMRI. 100-103 - Hiroyasu Usami, Yuji Iwahori, Manas Kamal Bhuyan, Aili Wang, Naotaka Ogasawara, Kunio Kasugai:
Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image. 104-111 - Arata Andrade Saraiva, Nuno M. Fonseca Ferreira, Luciano Lopes de Sousa, Nator Junior C. Costa, José Vigno M. Sousa, D. B. S. Santos, António Valente, Salviano Soares:
Classification of Images of Childhood Pneumonia using Convolutional Neural Networks. 112-119 - Sonia Mejbri, Camille Franchet, Ismat Ara Reshma, Josiane Mothe, Pierre Brousset, Emmanuel Faure:
Deep Analysis of CNN Settings for New Cancer Whole-slide Histological Images Segmentation: The Case of Small Training Sets. 120-128 - Patrizio Barca, Rocco Lamastra, Davide Caramella, Antonio C. Traino, Raffaele M. Tucciariello, Maria Evelina Fantacci:
Image Quality Comparison between Digital and Synthetic 2D Mammograms: A Qualitative and Quantitative Phantom Study. 129-136 - Diego Fiori de Carvalho, José Antonio Camacho Guerrero, Luis Javier Maldonado Zapata, Andrey Omar Mozo Uscamayta, Heleno Murilo Campeão Vale, Leandro Federiche Borges, Alexandre Collelo Bruno, Harley Francisco de Oliveira:
Radiotherapy Support Tools, the Brazilian Project: SIPRAD. 137-143 - Frantisek Spoutil, Michaela Prochazkova, Tereza Michalcikova, Ivana Uramova, Sarah Clewell, Vendula Novosadova, Jan Procházka:
microCT for Systematic Mouse Phenotyping. 144-149 - Piotr S. Szczepaniak:
Separation of Foreign Patterns from Native Ones: Active Contour based Mechanism. 150-154 - Tomás Ryba, Zdenek Krnoul:
Segmentation of Shoulder MRI Data for Musculoskeletal Model Adaptation. 155-160 - Sanem Meral, Ezel Yalcinkaya, Metin Eroglu, Ahmad Salmanogli, H. Selçuk Geçim:
Biomedical Device for Early Breast Cancer Detection: Device Performance Improving by Plasmonic-Photonic Mask. 161-166
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