Publicaciones en colaboración con investigadores/as de Northwestern University (237)

2024

  1. An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection

    Expert Systems with Applications, Vol. 240

  2. BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution

    Digital Signal Processing: A Review Journal, Vol. 145

  3. Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

    Artificial Intelligence, Vol. 331

  4. Learning from crowds for automated histopathological image segmentation

    Computerized Medical Imaging and Graphics, Vol. 112

2023

  1. Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification

    IEEE Access, Vol. 11, pp. 6922-6934

  3. Learning Moore-Penrose based residuals for robust non-blind image deconvolution

    Digital Signal Processing: A Review Journal, Vol. 142

  4. Probabilistic fusion of crowds and experts for the search of gravitational waves

    Knowledge-Based Systems, Vol. 261

  5. Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification

    Computerized Medical Imaging and Graphics, Vol. 97

  2. Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium

    Alzheimer's and Dementia: Translational Research and Clinical Interventions, Vol. 8, Núm. 1

  3. Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

    Computer Methods and Programs in Biomedicine, Vol. 219

  4. Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 3, pp. 1534-1551

2021

  1. Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference

    Computer Methods and Programs in Biomedicine, Vol. 211

  2. Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Deep learning approaches to inverse problems in imaging: Past, present and future

    Digital Signal Processing: A Review Journal, Vol. 119

  4. Fully automatic blind color deconvolution of histological images using super gaussians

    European Signal Processing Conference

  5. Gated recurrent networks for video super resolution

    European Signal Processing Conference

  6. Learning from crowds in digital pathology using scalable variational Gaussian processes

    Scientific Reports, Vol. 11, Núm. 1

2020

  1. A TV-based image processing framework for blind color deconvolution and classification of histological images

    Digital Signal Processing: A Review Journal, Vol. 101