Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs von Hassan, Loay, Saleh, Adel, Abdel-Nasser, Mohamed, Omer, Osama A., Puig, Domenec

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Analysis of focus measure operators for shape-from-focus von Pertuz, Said, Puig, Domenec, Garcia, Miguel Angel

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A k-anonymous approach to privacy preserving collaborative filtering von Casino, Fran, Domingo-Ferrer, Josep, Patsakis, Constantinos, Puig, Domènec, Solanas, Agusti

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Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity von Shukla, Jainendra, Barreda-Angeles, Miguel, Oliver, Joan, Nandi, G. C., Puig, Domenec

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T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks von Padilla Carrasco, Daniel, Rashwan, Hatem A., Garcia, Miguel Angel, Puig, Domenec

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Monocular Depth Estimation Using Deep Learning: A Review von Masoumian, Armin, Rashwan, Hatem A., Cristiano, Julián, Asif, M. Salman, Puig, Domenec

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Toward the prediction of porous membrane permeability from morphological data von Nurra, Claudia, Pitol-Filho, Luizildo, Carraud, Raphaelle, Pertuz, Said, Puig, Domènec, García, Miguel A., Salvadó, Joan, Torras, Carles

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Active contours driven by local and global fitted image models for image segmentation robust to intensity inhomogeneity von Akram, Farhan, Garcia, Miguel Angel, Puig, Domenec

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Efficient wavelet-based artifact removal for electrodermal activity in real-world applications von Shukla, Jainendra, Barreda-Ángeles, Miguel, Oliver, Joan, Puig, Domènec

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Deep Monocular Depth Estimation Based on Content and Contextual Features von Abdulwahab, Saddam, Rashwan, Hatem A, Sharaf, Najwa, Khalid, Saif, Puig, Domenec

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Generation of All-in-Focus Images by Noise-Robust Selective Fusion of Limited Depth-of-Field Images von Pertuz, S., Puig, D., Garcia, M. A., Fusiello, A.

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Robot Assisted Interventions for Individuals with Intellectual Disabilities: Impact on Users and Caregivers von Shukla, Jainendra, Cristiano, Julián, Oliver, Joan, Puig, Domènec

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Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences von Hassanien, Mohamed A, Singh, Vivek Kumar, Puig, Domenec, Abdel-Nasser, Mohamed

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Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics von Mazher, Moona, Qayyum, Abdul, Puig, Domenec, Abdel-Nasser, Mohamed

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Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks von Rashwan, Hatem A., Garcia, Miguel Angel, Abdulwahab, Saddam, Puig, Domenec

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LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework von Kumar Singh, Vivek, Abdel-Nasser, Mohamed, Pandey, Nidhi, Puig, Domenec

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Deterministic phase resetting with predefined response time for CPG networks based on Matsuoka’s oscillator von Cristiano, Julián, García, Miguel Angel, Puig, Domènec

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Link quality prediction in wireless community networks using deep recurrent neural networks von Abdel-Nasser, Mohamed, Mahmoud, Karar, Omer, Osama A., Lehtonen, Matti, Puig, Domenec

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Fully Automated Breast Density Segmentation and Classification Using Deep Learning von Saffari, Nasibeh, Rashwan, Hatem A., Abdel-Nasser, Mohamed, Kumar Singh, Vivek, Arenas, Meritxell, Mangina, Eleni, Herrera, Blas, Puig, Domenec

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FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention von Singh, Vivek Kumar, Abdel-Nasser, Mohamed, Rashwan, Hatem A., Akram, Farhan, Pandey, Nidhi, Lalande, Alain, Presles, Benoit, Romani, Santiago, Puig, Domenec

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