Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDICIAR 2018: Póvoa de Varzim, Portugal
- Aurélio Campilho
, Fakhri Karray, Bart M. ter Haar Romeny:
Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Póvoa de Varzim, Portugal, June 27-29, 2018, Proceedings. Lecture Notes in Computer Science 10882, Springer 2018, ISBN 978-3-319-92999-6
Enhancement, Restoration and Reconstruction
- Gábor Lékó, Péter Balázs, László G. Varga:
Projection Selection for Binary Tomographic Reconstruction Using Global Uncertainty. 3-10 - Péter Balázs, Judit Szücs:
Reconstruction of Binary Images with Fixed Number of Strips. 11-19 - Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization. 20-29 - Ines Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni:
A Flexible Statistical Model for Image Denoising. 30-38 - André R. S. Marçal, Joana Martins, Elena Selaru, Fernando Tavares:
Towards Automatic Calibration of Dotblot Images. 39-46 - Ilya Makarov, Diana Polonskaya, Anastasia Feygina:
Improving Picture Quality with Photo-Realistic Style Transfer. 47-55 - Mariusz Frackiewicz, Henryk Palus:
K-Means Color Image Quantization with Deterministic Initialization: New Image Quality Metrics. 56-61 - Katerina Fronckova, Pavel Prazak, Antonín Slabý:
Singular Value Decomposition in Image Compression and Blurred Image Restoration. 62-67
Image Segmentation
- Rabia Rashid, Muhammad Usman Akram, Taimur Hassan:
Fully Convolutional Neural Network for Lungs Segmentation from Chest X-Rays. 71-80 - Sumit Kaushik, Jan Slovak:
DTI Segmentation Using Anisotropy Preserving Quaternion Based Distance Measure. 81-89 - Weimin Yu, Wenyong Liu, Liwen Tan, Shaoxiang Zhang, Guoyan Zheng:
Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut Segmentation of Lumbar Vertebrae from CT Images. 90-95 - Carlos S. Pereira, Raul Morais, Manuel J. C. S. Reis:
Pixel-Based Leaf Segmentation from Natural Vineyard Images Using Color Model and Threshold Techniques. 96-106 - Siraj Muhammad, Matthew N. Dailey, Imari Sato, Muhammad Faran Majeed:
Handling Specularity in Intrinsic Image Decomposition. 107-115 - Murat Aykut, Saffet Murat Akturk:
An Improvement on GrabCut with CLAHE for the Segmentation of the Objects with Ambiguous Boundaries. 116-122
Detection, Classification and Recognition
- Roman M. Palenichka, Rafael Falcon, Rami S. Abielmona, Emil M. Petriu:
A Computational Model of Multi-scale Spatiotemporal Attention in Video Data. 125-135 - Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela:
Feature Selection for Big Visual Data: Overview and Challenges. 136-143 - JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu:
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography. 144-152 - Naoki Kato, Kohei Hakozaki, Masamoto Tanabiki, Junko Furuyama, Yuji Sato, Yoshimitsu Aoki:
Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter Learning. 153-163 - Huthaifa Abuhammad, Richard M. Everson:
Emotional Faces in the Wild: Feature Descriptors for Emotion Classification. 164-174 - Payam Pourashraf, Noriko Tomuro, Saeed Bagheri Shouraki:
From Windows to Logos: Analyzing Outdoor Images to Aid Flyer Classification. 175-184 - Kaleb E. Smith, Phillip Williams, Tatsanee Chaiya, Max Ble:
Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks. 185-192 - Cristian A. Torres-Valencia, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez:
Emotion Assessment Using Adaptive Learning-Based Relevance Analysis. 193-200 - Carmina Georgescu:
Improved Edge Detection Algorithms Based on a Riesz Fractional Derivative. 201-209 - Ekin Yagis, Mustafa Unel:
Facial Expression Based Emotion Recognition Using Neural Networks. 210-217 - André R. S. Marçal:
Robust Detection of Water Sensitive Papers. 218-226 - Jeremias Eichelbaum, Ronny Hänsch, Olaf Hellwich:
Classification of Icon Type and Cooldown State in Video Game Replays. 227-234 - Kheir-Eddine Aziz, Frédéric Bouchara:
Multimodal Deep Learning for Robust Recognizing Maritime Imagery in the Visible and Infrared Spectrums. 235-244 - J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco:
Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. 245-251 - Galina Lavrentyeva, Oleg Kudashev, Aleksandr Melnikov, Maria De Marsico, Yuri Matveev:
Interactive Photo Liveness for Presentation Attacks Detection. 252-258
Indexing and Retrieval
- Evelyn Paiz-Reyes, Nadile Nunes-de-Lima, Sule Yildirim Yayilgan:
GIF Image Retrieval in Cloud Computing Environment. 261-268 - Yat Hong Jacky Lam, Sule Yildirim Yayilgan:
Saliency-Based Image Object Indexing and Retrieval. 269-277 - Claudia Companioni-Brito, Zygred Mariano-Calibjo, Mohamed Elawady, Sule Yildirim:
Mobile-Based Painting Photo Retrieval Using Combined Features. 278-284 - Tien D. Bui, Kha Gia Quach, Chi Nhan Duong, Khoa Luu:
Lp Norm Relaxation Approach for Large Scale Data Analysis: A Review. 285-292
Computer Vision
- Heming Wang, Richard Mann, Edward R. Vrscay:
A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image Analysis. 295-305 - Amir Atapour Abarghouei, Toby P. Breckon:
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion. 306-314 - Kaiwen Lin, Toby P. Breckon:
Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical Cameras. 315-325 - Dongchang Li, Davide La Torre, Edward R. Vrscay:
The Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber's Models of Perception. 326-335 - Eli Kaminsky, Michael Werman:
ShadowNet. 336-344 - Anna Lewandowska, Anna Samborska-Owczarek, Malwina Dzisko:
Contrast Perception Across Human Cognitive Style. 345-352 - Patricia L. Suárez, Angel Domingo Sappa, Boris Xavier Vintimilla:
Vegetation Index Estimation from Monospectral Images. 353-362 - José Ferrão, Paulo Dias, António J. R. Neves:
Detection of Aruco Markers Using the Quadrilateral Sum Conjuncture. 363-369
Activity Recognition
- Zain Fuad, Mustafa Unel:
Human Action Recognition Using Fusion of Depth and Inertial Sensors. 373-380 - Ignace Tchangou Toudjeu, Jules-Raymond Tapamo:
Slope Pattern Spectra for Human Action Recognition. 381-389 - Thi-Hoa-Cuc Nguyen, Jean-Christophe Nebel, Francisco Flórez-Revuelta:
Recognition of Activities of Daily Living from Egocentric Videos Using Hands Detected by a Deep Convolutional Network. 390-398 - Geovane M. Ramos Neto, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva:
Sign Language Recognition Based on 3D Convolutional Neural Networks. 399-407 - Fatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith:
Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM. 408-415
Traffic and Surveillance
- Maarten Vandersteegen, Kristof Van Beeck, Toon Goedemé:
Real-Time Multispectral Pedestrian Detection with a Single-Pass Deep Neural Network. 419-426 - Christopher J. Holder, Toby P. Breckon:
Encoding Stereoscopic Depth Features for Scene Understanding in off-Road Environments. 427-434 - Miguel García-García, Alice Caplier, Michèle Rombaut:
Sleep Deprivation Detection for Real-Time Driver Monitoring Using Deep Learning. 435-442 - Chaojie Ou, Chahid Ouali, Fakhri Karray:
Transfer Learning Based Strategy for Improving Driver Distraction Recognition. 443-452 - Chris P. Moate, Stephen D. Hayward, Jonathan S. Ellis, Lee Russell, Ralph O. Timmerman, Richard O. Lane, Thomas J. Strain:
Vehicle Detection in Infrared Imagery Using Neural Networks with Synthetic Training Data. 453-461
Applications
- Stefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel:
A Preliminary Study of Image Analysis for Parasite Detection on Honey Bees. 465-473 - Wonder Alexandre Luz Alves, Charles F. Gobber, Ronaldo Fumio Hashimoto:
Plant Bounding Box Detection from Desirable Residues of the Ultimate Levelings. 474-481 - Peterson Adriano Belan, Robson A. G. de Macedo, Marihá M. A. Pereira, Wonder Alexandre Luz Alves, Sidnei Alves de Araújo:
A Fast and Robust Approach for Touching Grains Segmentation. 482-489 - Dzenana Alagic, Olivia Bluder, Jürgen Pilz:
Quantification and Prediction of Damage in SAM Images of Semiconductor Devices. 490-496 - Tanasai Sucontphunt, Jaturong Mahaisavariya:
Automatic Cartoon Face Composition Using Caricature Traits. 497-504 - Nikos Vasilopoulos, Yazan Wasfi, Ergina Kavallieratou:
Automatic Text Extraction from Arabic Newspapers. 505-510
Biomedical Image Analysis
- Guodong Zeng, Guoyan Zheng:
Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion Segmentation in Dermoscopy Images. 513-521 - Ali Abdollahi Gharbali, Shirin Najdi, José Manuel Fonseca:
Transfer Learning of Spectrogram Image for Automatic Sleep Stage Classification. 522-528 - David A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Ángel Orozco, Germán Holguín:
A Kernelized Morphable Model for 3D Brain Tumor Analysis. 529-537 - Mariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne:
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique. 538-545 - Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava:
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs. 546-552 - Paulo Jorge Simães Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha:
A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies. 553-561 - Hykoush Asaturyan, Barbara Villarini:
Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-Flow and Min-Cuts Approach. 562-570 - Cristian Jimenez, D. Diaz, D. Salazar, Andres Marino Alvarez, Álvaro-Ángel Orozco-Gutierrez, Óscar Alberto Henao:
Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier. 571-578 - Tiédé Armand Djiro, Camille Kurtz, Nicolas Loménie:
Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole Slide Images. 579-588 - Andrey S. Krylov, Andrey V. Nasonov, Konstantin Chesnakov, Alexandra A. Nasonova, Seung Oh Jin, Uk Kang, Sang Min Park:
Vessel Preserving CNN-Based Image Resampling of Retinal Images. 589-597 - Antonino C. dos Santos Neto, Pedro Henrique Bandeira Diniz, João Otávio Bandeira Diniz, André B. Cavalcante, Aristófanes C. Silva, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida:
Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context. 598-604 - Pedro H. Barros, Bruno G. C. Lima, Felipe C. Crispim, Tiago F. Vieira, Paolo Missier, Baldoino Fonseca:
Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus. 605-610
Diagnosis and Screening of Ophthalmic Diseases
- Appan K. Pujitha, Jayanthi Sivaswamy:
Retinal Image Synthesis for CAD Development. 613-621 - Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Deep Convolutional Artery/Vein Classification of Retinal Vessels. 622-630 - Juan P. Vigueras-Guillén, Angela Engel, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet:
Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging Superpixels. 631-638 - Adrián Colomer, Pablo Ruiz, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos:
Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. 639-649 - Arunava Chakravarty, Divya Jyothi Gaddipati, Jayanthi Sivaswamy:
Construction of a Retinal Atlas for Macular OCT Volumes. 650-658 - Sufian AlBadawi, M. M. Fraz:
Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural Network. 659-668 - Tânia Melo, Ana Maria Mendonça, Aurélio Campilho:
Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative Study. 669-678 - Italo Francyles Santos da Silva, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva:
Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network. 679-686 - Sami Bourouis, Atef Zaguia, Nizar Bouguila:
Hybrid Statistical Framework for Diabetic Retinopathy Detection. 687-694 - Taimur Hassan, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin:
BIOMISA Retinal Image Database for Macular and Ocular Syndromes. 695-705 - Melinda Katona, Attila Kovács, László Varga, Tamás Grósz, József Dombi, Rózsa Dégi, László G. Nyúl:
Automatic Detection and Characterization of Biomarkers in OCT Images. 706-714
Challenge on Breast Cancer Histology Images
- Kamyar Nazeri, Azad Aminpour, Mehran Ebrahimi:
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. 717-726 - Nick Weiss, Henning Kost, André Homeyer:
Towards Interactive Breast Tumor Classification Using Transfer Learning. 727-736 - Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin:
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis. 737-744 - Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing:
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. 745-753 - Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang:
Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion. 754-762 - Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho:
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. 763-770 - Nadia Brancati, Maria Frucci, Daniel Riccio:
Multi-classification of Breast Cancer Histology Images by Using a Fine-Tuning Strategy. 771-778 - Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. 779-787 - Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. 788-795 - Ismaël Koné, Lahsen Boulmane:
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification. 796-803 - Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese:
Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural Networks. 804-811 - Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier:
Classification of Breast Cancer Histology Images Using Transfer Learning. 812-819 - Sameh Galal, Veronica Sanchez-Freire:
Candy Cane: Breast Cancer Pixel-Wise Labeling with Fully Convolutional Densenets. 820-826 - Yao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu:
Breast Cancer Histology Image Classification Based on Deep Neural Networks. 827-836 - Aditya Golatkar, Deepak Anand, Amit Sethi:
Classification of Breast Cancer Histology Using Deep Learning. 837-844 - Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang:
Breast Cancer Microscope Image Classification Based on CNN with Image Deformation. 845-852 - Tomas Iesmantas, Robertas Alzbutas:
Convolutional Capsule Network for Classification of Breast Cancer Histology Images. 853-860 - Bahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh:
Ensemble Network for Region Identification in Breast Histopathology Slides. 861-868 - Wajahat Nawaz, Sagheer Ahmed, Ali Tahir, Hassan Aqeel Khan:
Classification Of Breast Cancer Histology Images Using ALEXNET. 869-876 - Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev:
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. 877-886 - Auxiliadora Sarmiento, Irene Fondón:
Automatic Breast Cancer Grading of Histological Images Based on Colour and Texture Descriptors. 887-894 - Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak:
Micro and Macro Breast Histology Image Analysis by Partial Network Re-use. 895-902 - Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust:
Assessment of Breast Cancer Histology Using Densely Connected Convolutional Networks. 903-913 - Yeeleng Scott Vang, Zhen Chen, Xiaohui Xie:
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification. 914-922 - Chao-Hui Huang, Jens Brodbeck, Nena M. Dimaano, John Kang, Belma Dogdas, Douglas Rollins, Eric M. Gifford:
Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected Network. 923-930 - Scotty Kwok:
Multiclass Classification of Breast Cancer in Whole-Slide Images. 931-940
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-07-17 21:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
