Ricardo Bigolin Lanfredi

PhD student

University of Utah

SCI Institute

Biography

I am a PhD student at the University of Utah researching the intersection of Computer Vision, Deep Learning, and Medical Image Analysis. I am working with Tolga Tasdizen.

Interests

Computer Vision
Medical Image Analysis
Deep Learning
Model Interpretability
Adversarial Robustness

Education

PhD in Electrical Engineering, 2017 - Current

University of Utah
MEng - Diplôme d'Ingénieur, 2012 - 2016

CentralSupélec
BSc in Electrical Engineering, 2010 - 2016

Universidade Federal do Rio Grande do Sul

News

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Projects

Eye-tracking Annotations for Deep Learning Radiology Applications

This project is NIH-funded, started in 2020, and aims to collect eye-tracking data as a …

COPD from Chest X-rays

After collecting a dataset of chest x-rays and pulmonary function tests of the same patient within …

Publications

Joyce D Schroeder, Ricardo Bigolin Lanfredi, Tao Li, Jessica Chan, Clement Vachet, Robert Paine, Vivek Srikumar, Tolga Tasdizen (2021). Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data. International Journal of Chronic Obstructive Pulmonary Disease.

Ricardo Bigolin Lanfredi, Joyce D Schroeder, Clement Vachet, Tolga Tasdizen (2020). Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields. MICCAI 2020.

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Ricardo Bigolin Lanfredi, Joyce D Schroeder, Tolga Tasdizen (2020). Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. arXiv preprint.

Ricardo Bigolin Lanfredi, Joyce D Schroeder, Clement Vachet, Tolga Tasdizen (2019). Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays. MICCAI 2019.

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Mehran Javanmardi, Ricardo Bigolin Lanfredi, Mujdat Cetin, Tolga Tasdizen (2018). Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.

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