Search Results for author: Claudia Iriondo

Found 4 papers, 2 papers with code

DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications

no code implementations17 Mar 2022 Somaye Hashemifar, Claudia Iriondo, Evan Casey, Mohsen Hejrati, for Alzheimer's Disease Neuroimaging Initiative

Our proposed model integrates high dimensional MRI features from a 3D convolutional neural network with other data modalities, including clinical and demographic information, to predict the future trajectory of patients.

Multi-Task Learning

Adversarial Policy Gradient for Deep Learning Image Augmentation

1 code implementation9 Sep 2019 Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia

The use of semantic segmentation for masking and cropping input images has proven to be a significant aid in medical imaging classification tasks by decreasing the noise and variance of the training dataset.

Classification General Classification +3

Distance Map Loss Penalty Term for Semantic Segmentation

no code implementations10 Aug 2019 Francesco Caliva, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia

We propose to use distance maps, derived from ground truth masks, to create a penalty term, guiding the network's focus towards hard-to-segment boundary regions.

Segmentation Semantic Segmentation

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