Publications

  • Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina

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  • An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans

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  • Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning

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  • REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

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  • On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems

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  • Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography

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  • Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

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  • Improving realism in patient-specific abdominal Ultrasound simulation using CycleGANs

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  • U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans

    Details PDF Slides

  • Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

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  • Towards a glaucoma risk index based on simulated hemodynamics from fundus images

    Details PDF Code Dataset Poster

  • Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation

    Details PDF Dataset

  • An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images

    Details PDF Code Project

  • A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

    Details PDF Code Dataset Project

  • Proliferative Diabetic Retinopathy Characterization based on Fractal Features: Evaluation on a Publicly Available Data Set

    Details Code Dataset Project

  • Convolutional neural network transfer for automated glaucoma identification

    Details PDF Code Dataset

  • Assessment of image features for vessel wall segmentation in intravascular ultrasound images

    Details PDF Code

  • Learning fully-connected CRFs for blood vessel segmentation in retinal images

    Details PDF Code Dataset Project Poster

Recent & Upcoming Talks

Recent Posts

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Abrimos una convocatoria para postulantes a Becas CONICET 2020 y CIC-PBA 2020.

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Estamos entrevistando candidatos para aplicar a las becas de ingreso a la investigación de la Secretaría de Ciencia, Arte y Tecnología de la UNICEN.

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I will present some of the key conlusions of the REFUGE challenge at IMAGE AI.

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Estamos entrevistando candidatos para aplicar a las becas de estímulo a las vocaciones científicas EVC 2019 del CIN (Consejo Universitario Nacional).

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I’m moving back to Argentina to join again PLADEMA as a CONICET funded Assistant Researcher.

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Projects

Ultrasound simulation

We are developing a low-cost ultrasound simulator for training clinicians in US without requiring a sonographer.

Automated retinal OCT analysis

We develop automated tools for retinal OCT image analysis.

Automated fundus image analysis

We develop automated tools based on machine learning for automated fundus image analysis

Teaching

In 2020 I’ll be teaching in the following courses at UNICEN (Argentina):

I have been also a Teaching Assistant in other courses:

Contact

Feel free to contact me if you have any questions about my research!