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ORCID17th ICIAR 2020: Póvoa de Varzim, Portugal
- Aurélio Campilho
, Fakhri Karray, Zhou Wang:
Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12132, Springer 2020, ISBN 978-3-030-50515-8
Machine Learning
- Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. 3-15 - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. 16-24 - Daniel Popp Coelho, Sérgio Shiguemi Furuie:
Parallel Implementation of the DRLSE Algorithm. 25-35 - Vittoria Bruni, Lorenzo Della Cioppa, Domenico Vitulano:
A Multiscale Energy-Based Time-Domain Approach for Interference Detection in Non-stationary Signals. 36-47 - Nicolas Franco Gonzalez, Andres Ospina, Philippe Calvez:
SMAT: Smart Multiple Affinity Metrics for Multiple Object Tracking. 48-62 - Julien Muzeau, Maria Oliver-Parera, Patricia Ladret, Pascal Bertolino:
Combining Mixture Models and Spectral Clustering for Data Partitioning. 63-75 - Ji Li, Yingdong Ma:
MSPNet: Multi-level Semantic Pyramid Network for Real-Time Object Detection. 76-88 - Pranaydeep Singh, Srikrishna Varadarajan, Ankit Narayan Singh, Muktabh Mayank Srivastava:
Multi-domain Document Layout Understanding Using Few-Shot Object Detection. 89-99 - Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti:
Object Tracking Through Residual and Dense LSTMs. 100-111 - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. 112-117 - Turner Tobin, Rasha Kashef:
Efficient Prediction of Gold Prices Using Hybrid Deep Learning. 118-129 - Cédrick Bamba Nsimba, Alexandre L. M. Levada:
Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification. 130-143 - Qiang Zhao, Fakhri Karray:
Anomaly Detection for Images Using Auto-encoder Based Sparse Representation. 144-153
Medical Image Analysis
- João F. Teixeira, Sílvia Bessa, Pedro F. Gouveia, Hélder P. Oliveira:
A Framework for Fusion of T1-Weighted and Dynamic MRI Sequences. 157-169 - Fábio Barros, Ana Rita Valente, Luciana Albuquerque, Samuel S. Silva, António J. S. Teixeira, Catarina Oliveira:
Contributions to a Quantitative Unsupervised Processing and Analysis of Tongue in Ultrasound Images. 170-181 - Gustavo Ulloa, Alejandro Veloz, Héctor Allende-Cid, Héctor Allende:
Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. 182-192 - João F. Teixeira, António M. Carreiro, Rute M. Santos, Hélder P. Oliveira:
B-Mode Ultrasound Breast Anatomy Segmentation. 193-201 - Tahira Ghani, B. John Oommen:
Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans. 202-215 - Azad Aminpour, Mehran Ebrahimi, Elysa Widjaja:
Lesion Localization in Paediatric Epilepsy Using Patch-Based Convolutional Neural Network. 216-227 - Catarina Andrade, Luís F. Teixeira, Maria João M. Vasconcelos, Luís Rosado:
Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images. 228-237 - Maria Narciso, António Ferreira, Pedro Vieira:
Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle. 238-246
Analysis of Histopathology Images
- Jiahao Lu, Natasa Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michael Hirsch, Joakim Lindblad:
A Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. 249-261 - Alison K. Cheeseman, Hamid R. Tizhoosh, Edward R. Vrscay:
Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance. 262-273 - Jan Hering, Jan Kybic:
Generalized Multiple Instance Learning for Cancer Detection in Digital Histopathology. 274-282
Diagnosis and Screening of Ophthalmic Diseases
- Catarina B. Carvalho, João Pedrosa, Carolina Maia, Susana Penas, Ângela Carneiro, Luís Mendonça, Ana Maria Mendonça, Aurélio Campilho:
A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images. 285-298 - Alex Gaudio, Asim Smailagic, Aurélio Campilho:
Enhancement of Retinal Fundus Images via Pixel Color Amplification. 299-312 - Safinaz ElMahmoudy, Lamiaa Abdel-Hamid, Ahmed El-Rafei, Salwa El-Ramly:
Wavelet-Based Retinal Image Enhancement. 313-324 - Youri Peskine, Marie-Carole Boucher, Farida Cheriet:
An Interpretable Data-Driven Score for the Assessment of Fundus Images Quality. 325-331 - Ana Maria Mendonça, Tânia Melo, Teresa Araújo, Aurélio Campilho:
Optic Disc and Fovea Detection in Color Eye Fundus Images. 332-343 - Ana Nunes, Pedro Serranho, Hugo Quental, Miguel Castelo-Branco, Rui Bernardes:
The Effect of Menopause on the Sexual Dimorphism in the Human Retina - Texture Analysis of Optical Coherence Tomography Data. 344-357 - Mohamed Chetoui, Moulay A. Akhloufi:
Deep Retinal Diseases Detection and Explainability Using OCT Images. 358-366
Grand Challenge on Automatic Lung Cancer Patient Management
- Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya:
An Automated Workflow for Lung Nodule Follow-Up Recommendation Using Deep Learning. 369-377 - Or Katz, Dan Presil, Liz Cohen, Yael Schwartzbard, Sarah Hoch, Shlomo Kashani:
Pulmonary-Nodule Detection Using an Ensemble of 3D SE-ResNet18 and DPN68 Models. 378-385 - Zhenhuan Tian, Yizhuan Jia, Xuejun Men, Zhongwei Sun:
3DCNN for Pulmonary Nodule Segmentation and Classification. 386-395 - Adrian Galdran, Hamid Bouchachia:
Residual Networks for Pulmonary Nodule Segmentation and Texture Characterization. 396-405 - Gurraj Atwal, Hady Ahmady Phoulady:
Automatic Lung Cancer Follow-Up Recommendation with 3D Deep Learning. 406-418 - Alexandr G. Rassadin:
Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung. 419-427
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