Table of Contents

• Projection Selection for Binary Tomographic Reconstruction Using Global UncertaintyGábor Lékó, Péter Balázs, László G. Varga. 3-10 [doi]
• Reconstruction of Binary Images with Fixed Number of StripsPéter Balázs, Judit Szücs. 11-19 [doi]
• Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based OptimizationDaniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay. 20-29 [doi]
• A Flexible Statistical Model for Image DenoisingInes Channoufi, Sami Bourouis, Nizar Bouguila, Kamel Hamrouni. 30-38 [doi]
• Towards Automatic Calibration of Dotblot ImagesAndré R. S. Marçal, Joana Martins, Elena Selaru, Fernando Tavares. 39-46 [doi]
• Improving Picture Quality with Photo-Realistic Style TransferIlya Makarov, Diana Polonskaya, Anastasia Feygina. 47-55 [doi]
• K-Means Color Image Quantization with Deterministic Initialization: New Image Quality MetricsMariusz Frackiewicz, Henryk Palus. 56-61 [doi]
• Singular Value Decomposition in Image Compression and Blurred Image RestorationKaterina Fronckova, Pavel Prazak, Antonin Slabý. 62-67 [doi]
• Fully Convolutional Neural Network for Lungs Segmentation from Chest X-RaysRabia Rashid, Muhammad Usman Akram, Taimur Hassan. 71-80 [doi]
• DTI Segmentation Using Anisotropy Preserving Quaternion Based Distance MeasureSumit Kaushik, Jan Slovak. 81-89 [doi]
• Affinely Registered Multi-object Atlases as Shape Prior for Grid Cut Segmentation of Lumbar Vertebrae from CT ImagesWeimin Yu, Wenyong Liu, Liwen Tan, Shaoxiang Zhang, Guoyan Zheng. 90-95 [doi]
• Pixel-Based Leaf Segmentation from Natural Vineyard Images Using Color Model and Threshold TechniquesCarlos S. Pereira, R. Morais, M. J. C. S. Reis. 96-106 [doi]
• Handling Specularity in Intrinsic Image DecompositionSiraj Muhammad, Matthew N. Dailey, Imari Sato, Muhammad Faran Majeed. 107-115 [doi]
• An Improvement on GrabCut with CLAHE for the Segmentation of the Objects with Ambiguous BoundariesMurat Aykut, Saffet Murat Akturk. 116-122 [doi]
• A Computational Model of Multi-scale Spatiotemporal Attention in Video DataRoman M. Palenichka, Rafael Falcon, Rami S. Abielmona, Emil M. Petriu. 125-135 [doi]
• Feature Selection for Big Visual Data: Overview and ChallengesVerónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela. 136-143 [doi]
• Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-TomographyJiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu. 144-152 [doi]
• Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter LearningNaoki Kato, Kohei Hakozaki, Masamoto Tanabiki, Junko Furuyama, Yuji Sato, Yoshimitsu Aoki. 153-163 [doi]
• Emotional Faces in the Wild: Feature Descriptors for Emotion ClassificationHuthaifa Abuhammad, Richard Everson. 164-174 [doi]
• From Windows to Logos: Analyzing Outdoor Images to Aid Flyer ClassificationPayam Pourashraf, Noriko Tomuro, Saeed Bagheri Shouraki. 175-184 [doi]
• Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification TasksKaleb E. Smith, Phillip Williams, Tatsanee Chaiya, Max Ble. 185-192 [doi]
• Emotion Assessment Using Adaptive Learning-Based Relevance AnalysisCristian A. Torres-Valencia, Andres Álvarez-Meza, Álvaro Orozco-Gutiérrez. 193-200 [doi]
• Improved Edge Detection Algorithms Based on a Riesz Fractional DerivativeCarmina Georgescu. 201-209 [doi]
• Facial Expression Based Emotion Recognition Using Neural NetworksEkin Yagis, Mustafa Unel. 210-217 [doi]
• Robust Detection of Water Sensitive PapersAndré R. S. Marçal. 218-226 [doi]
• Classification of Icon Type and Cooldown State in Video Game ReplaysJeremias Eichelbaum, Ronny Hänsch, Olaf Hellwich. 227-234 [doi]
• Multimodal Deep Learning for Robust Recognizing Maritime Imagery in the Visible and Infrared SpectrumsKheireddine Aziz, Frédéric Bouchara. 235-244 [doi]
• Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive FilteringJ. S. Blandon, C. K. Valencia, A. Alvarez, J. Echeverry, M. A. Alvarez, Álvaro Orozco. 245-251 [doi]
• Interactive Photo Liveness for Presentation Attacks DetectionGalina Lavrentyeva, Oleg Kudashev, Aleksandr Melnikov, Maria De Marsico, Yuri Matveev. 252-258 [doi]
• GIF Image Retrieval in Cloud Computing EnvironmentEvelyn Paiz-Reyes, Nadile Nunes-de-Lima, Sule Yildirim Yayilgan. 261-268 [doi]
• Saliency-Based Image Object Indexing and RetrievalYat Hong Jacky Lam, Sule Yildirim Yayilgan. 269-277 [doi]
• Mobile-Based Painting Photo Retrieval Using Combined FeaturesClaudia Companioni-Brito, Zygred Mariano-Calibjo, Mohamed Elawady, Sule Yildirim. 278-284 [doi]
• Lp Norm Relaxation Approach for Large Scale Data Analysis: A ReviewTien D. Bui, Kha Gia Quach, Chi Nhan Duong, Khoa Luu. 285-292 [doi]
• A Diffusion-Based Two-Dimensional Empirical Mode Decomposition (EMD) Algorithm for Image AnalysisHeming Wang, Richard Mann, Edward R. Vrscay. 295-305 [doi]
• Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image CompletionAmir Atapour Abarghouei, Toby P. Breckon. 306-314 [doi]
• Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar Spherical CamerasKaiwen Lin, Toby P. Breckon. 315-325 [doi]
• The Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber's Models of PerceptionDongchang Li, Davide La Torre, Edward R. Vrscay. 326-335 [doi]
• ShadowNetEli Kaminsky, Michael Werman. 336-344 [doi]
• Contrast Perception Across Human Cognitive StyleAnna Lewandowska, Anna Samborska-Owczarek, Malwina Dzisko. 345-352 [doi]
• Vegetation Index Estimation from Monospectral ImagesPatricia L. Suárez, Angel Domingo Sappa, Boris Xavier Vintimilla. 353-362 [doi]
• Detection of Aruco Markers Using the Quadrilateral Sum ConjunctureJosé Ferrão, Paulo Dias, António J. R. Neves. 363-369 [doi]
• Human Action Recognition Using Fusion of Depth and Inertial SensorsZain Fuad, Mustafa Unel. 373-380 [doi]
• Slope Pattern Spectra for Human Action RecognitionIgnace Tchangou Toudjeu, Jules-Raymond Tapamo. 381-389 [doi]
• Recognition of Activities of Daily Living from Egocentric Videos Using Hands Detected by a Deep Convolutional NetworkThi-Hoa-Cuc Nguyen, Jean-Christophe Nebel, Francisco Flórez-Revuelta. 390-398 [doi]
• Sign Language Recognition Based on 3D Convolutional Neural NetworksGeovane M. Ramos Neto, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva. 399-407 [doi]
• Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMMFatma Najar, Sami Bourouis, Atef Zaguia, Nizar Bouguila, Safya Belghith. 408-415 [doi]
• Real-Time Multispectral Pedestrian Detection with a Single-Pass Deep Neural NetworkMaarten Vandersteegen, Kristof Van Beeck, Toon Goedemé. 419-426 [doi]
• Encoding Stereoscopic Depth Features for Scene Understanding in off-Road EnvironmentsChristopher J. Holder, Toby P. Breckon. 427-434 [doi]
• Sleep Deprivation Detection for Real-Time Driver Monitoring Using Deep LearningMiguel García-García, Alice Caplier, Michèle Rombaut. 435-442 [doi]
• Transfer Learning Based Strategy for Improving Driver Distraction RecognitionChaojie Ou, Chahid Ouali, Fakhri Karray. 443-452 [doi]
• Vehicle Detection in Infrared Imagery Using Neural Networks with Synthetic Training DataChris P. Moate, Stephen D. Hayward, Jonathan S. Ellis, Lee Russell, Ralph O. Timmerman, Richard O. Lane, Thomas J. Strain. 453-461 [doi]
• A Preliminary Study of Image Analysis for Parasite Detection on Honey BeesStefan Schurischuster, Beatriz Remeseiro, Petia Radeva, Martin Kampel. 465-473 [doi]
• Plant Bounding Box Detection from Desirable Residues of the Ultimate LevelingsWonder Alexandre Luz Alves, Charles F. Gobber, Ronaldo Fumio Hashimoto. 474-481 [doi]
• A Fast and Robust Approach for Touching Grains SegmentationPeterson Adriano Belan, Robson A. G. de Macedo, Marihá M. A. Pereira, Wonder A. L. Alves, Sidnei Alves de Araújo. 482-489 [doi]
• Quantification and Prediction of Damage in SAM Images of Semiconductor DevicesDzenana Alagic, Olivia Bluder, Jürgen Pilz. 490-496 [doi]
• Automatic Cartoon Face Composition Using Caricature TraitsTanasai Sucontphunt, Jaturong Mahaisavariya. 497-504 [doi]
• Automatic Text Extraction from Arabic NewspapersNikos Vasilopoulos, Yazan Wasfi, Ergina Kavallieratou. 505-510 [doi]
• Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion Segmentation in Dermoscopy ImagesGuodong Zeng, Guoyan Zheng. 513-521 [doi]
• Transfer Learning of Spectrogram Image for Automatic Sleep Stage ClassificationAli Abdollahi Gharbali, Shirin Najdi, José Manuel Fonseca. 522-528 [doi]
• A Kernelized Morphable Model for 3D Brain Tumor AnalysisDavid A. Jimenez, Hernán F. García, Andrés M. Álvarez, Álvaro Ángel Orozco, Germán Holguín. 529-537 [doi]
• Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning TechniqueMariana P. Bento, Roberto Souza, Marina Salluzzi, Richard Frayne. 538-545 [doi]
• Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest RadiographsPulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava. 546-552 [doi]
• A Deep Learning Approach for Red Lesions Detection in Video Capsule EndoscopiesPaulo Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha. 553-561 [doi]
• Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-Flow and Min-Cuts ApproachHykoush Asaturyan, Barbara Villarini. 562-570 [doi]
• Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM ClassifierC. Jimenez, D. Diaz, D. Salazar, A. M. Alvarez, Álvaro Orozco, O. Henao. 571-578 [doi]
• Assessment of Anti-tumor Immune Response in Colorectal Carcinomas from Whole Slide ImagesTiédé Armand Djiro, Camille Kurtz, Nicolas Loménie. 579-588 [doi]
• Vessel Preserving CNN-Based Image Resampling of Retinal ImagesAndrey S. Krylov, Andrey V. Nasonov, Konstantin Chesnakov, Alexandra A. Nasonova, Seung-Oh Jin, Uk Kang, Sang-Min Park. 589-597 [doi]
• Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics ContextAntonino C. dos S. Neto, Pedro Henrique Bandeira Diniz, João Otávio Bandeira Diniz, André B. Cavalcante, Aristófanes C. Silva, Anselmo Cardoso de Paiva, João Dallyson Sousa de Almeida. 598-604 [doi]
• Analyzing Social Network Images with Deep Learning Models to Fight Zika VirusPedro H. Barros, Bruno G. C. Lima, Felipe C. Crispim, Tiago Vieira, Paolo Missier, Baldoino Fonseca. 605-610 [doi]
• Retinal Image Synthesis for CAD DevelopmentAppan K. Pujitha, Jayanthi Sivaswamy. 613-621 [doi]
• Deep Convolutional Artery/Vein Classification of Retinal VesselsMaria Inês Meyer, Adrian Galdran, Pedro Costa 0005, Ana Maria Mendonça, Aurélio Campilho. 622-630 [doi]
• Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging SuperpixelsJuan P. Vigueras-Guillén, Angela Engel, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet. 631-638 [doi]
• Hard Exudate Detection Using Local Texture Analysis and Gaussian ProcessesAdrián Colomer, Pablo Ruiz 0002, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos. 639-649 [doi]
• Construction of a Retinal Atlas for Macular OCT VolumesArunava Chakravarty, Divya Jyothi Gaddipati, Jayanthi Sivaswamy. 650-658 [doi]
• Arterioles and Venules Classification in Retinal Images Using Fully Convolutional Deep Neural NetworkSufian AlBadawi, M. M. Fraz. 659-668 [doi]
• Creation of Retinal Mosaics for Diabetic Retinopathy Screening: A Comparative StudyTânia Melo, Ana Maria Mendonça, Aurélio Campilho. 669-678 [doi]
• Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional NetworkItalo Francyles Santos da Silva, João Dallyson Sousa de Almeida, Jorge Antonio Meireles Teixeira, Geraldo Braz Junior, Anselmo Cardoso de Paiva. 679-686 [doi]
• Hybrid Statistical Framework for Diabetic Retinopathy DetectionSami Bourouis, Atef Zaguia, Nizar Bouguila. 687-694 [doi]
• BIOMISA Retinal Image Database for Macular and Ocular SyndromesTaimur Hassan, M. Usman Akram, M. Furqan Masood, Ubaidullah Yasin. 695-705 [doi]
• Automatic Detection and Characterization of Biomarkers in OCT ImagesMelinda Katona, Attila Kovács, László Varga, Tamás Grósz, József Dombi, Rózsa Dégi, László G. Nyúl. 706-714 [doi]
• Two-Stage Convolutional Neural Network for Breast Cancer Histology Image ClassificationKamyar Nazeri, Azad Aminpour, Mehran Ebrahimi. 717-726 [doi]
• Towards Interactive Breast Tumor Classification Using Transfer LearningNick Weiss, Henning Kost, André Homeyer. 727-736 [doi]
• Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisAlexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin. 737-744 [doi]
• Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global PoolingZeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing. 745-753 [doi]
• Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network FusionAmirreza Mahbod, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang. 754-762 [doi]
• Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa 0005, Aurélio Campilho. 763-770 [doi]
• Multi-classification of Breast Cancer Histology Images by Using a Fine-Tuning StrategyNadia Brancati, Maria Frucci, Daniel Riccio. 771-778 [doi]
• Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology ImagesHongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin. 779-787 [doi]
• Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology ImagesRuqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot. 788-795 [doi]
• Hierarchical ResNeXt Models for Breast Cancer Histology Image ClassificationIsmaël Koné, Lahsen Boulmane. 796-803 [doi]
• Classification of Breast Cancer Histology Image using Ensemble of Pre-trained Neural NetworksSai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese. 804-811 [doi]
• Classification of Breast Cancer Histology Images Using Transfer LearningSulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier. 812-819 [doi]
• Candy Cane: Breast Cancer Pixel-Wise Labeling with Fully Convolutional DensenetsSameh Galal, Veronica Sanchez-Freire. 820-826 [doi]
• Breast Cancer Histology Image Classification Based on Deep Neural NetworksYao Guo, Huihui Dong, Fangzhou Song, Chuang Zhu, Jun Liu. 827-836 [doi]
• Classification of Breast Cancer Histology Using Deep LearningAditya Golatkar, Deepak Anand, Amit Sethi. 837-844 [doi]
• Breast Cancer Microscope Image Classification Based on CNN with Image DeformationYaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang. 845-852 [doi]
• Convolutional Capsule Network for Classification of Breast Cancer Histology ImagesTomas Iesmantas, Robertas Alzbutas. 853-860 [doi]
• Ensemble Network for Region Identification in Breast Histopathology SlidesBahram Marami, Marcel Prastawa, Monica Chan, Michael J. Donovan, Gerardo Fernandez, Jack Zeineh. 861-868 [doi]
• Classification Of Breast Cancer Histology Images Using ALEXNETWajahat Nawaz, Sagheer Ahmed, Ali Tahir, Hassan Aqeel Khan. 869-876 [doi]
• Ensembling Neural Networks for Digital Pathology Images Classification and SegmentationArtem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev. 877-886 [doi]
• Automatic Breast Cancer Grading of Histological Images Based on Colour and Texture DescriptorsAuxiliadora Sarmiento, Irene Fondón. 887-894 [doi]
• Micro and Macro Breast Histology Image Analysis by Partial Network Re-useQuoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak. 895-902 [doi]
• Assessment of Breast Cancer Histology Using Densely Connected Convolutional NetworksMatthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust. 903-913 [doi]
• Deep Learning Framework for Multi-class Breast Cancer Histology Image ClassificationYeeleng Scott Vang, Zhen Chen, Xiaohui Xie. 914-922 [doi]
• Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected NetworkChao-Hui Huang, Jens Brodbeck, Nena M. Dimaano, John Kang, Belma Dogdas, Douglas Rollins, Eric M. Gifford. 923-930 [doi]
• Multiclass Classification of Breast Cancer in Whole-Slide ImagesScotty Kwok. 931-940 [doi]