E.T.S. DE INGENIERÍAS INFORMÁTICA Y DE TELECOMUNICACIÓN
FACULTAD
Northwestern University
Evanston, Estados UnidosPublicaciones en colaboración con investigadores/as de Northwestern University (313)
2024
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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
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BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution
Digital Signal Processing: A Review Journal, Vol. 145
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Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
Artificial Intelligence, Vol. 331
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Learning from crowds for automated histopathological image segmentation
Computerized Medical Imaging and Graphics, Vol. 112
2023
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Author Correction: Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2) (npj Parkinson's Disease, (2023), 9, 1, (100), 10.1038/s41531-023-00526-9)
npj Parkinson's Disease
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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)
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Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification
IEEE Access, Vol. 11, pp. 6922-6934
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Defining the causes of sporadic Parkinson’s disease in the global Parkinson’s genetics program (GP2)
npj Parkinson's Disease, Vol. 9, Núm. 1
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Learning Moore-Penrose based residuals for robust non-blind image deconvolution
Digital Signal Processing: A Review Journal, Vol. 142
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Probabilistic fusion of crowds and experts for the search of gravitational waves
Knowledge-Based Systems, Vol. 261
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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
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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
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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
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Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection
Computer Methods and Programs in Biomedicine, Vol. 219
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In Vitro Evaluation of a Protocol and an Architecture for Bidirectional Communications in Networks of Wireless Implants Powered by Volume Conduction
Biosystems and Biorobotics (Springer Science and Business Media Deutschland GmbH), pp. 103-107
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Integrated seismic program (isp): A new python gui-based software for earthquake seismology and seismic signal processing
Seismological Research Letters, Vol. 93, Núm. 3, pp. 1895-1908
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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
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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
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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)
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Deep learning approaches to inverse problems in imaging: Past, present and future
Digital Signal Processing: A Review Journal, Vol. 119