Claudia Iriondo

According to our database, Claudia Iriondo authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Counterfactual Generative Modeling with Variational Causal Inference.

Yulun Wu, Louie McConnell, Claudia Iriondo

CoRR, 2024

2022

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

Claudia Iriondo, Evan Casey, Mohsen Hejrati, Somaye Hashemifar

CoRR, 2022

2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari

CoRR, 2020

2019

Distance Map Loss Penalty Term for Semantic Segmentation.

Francesco Calivá, Claudia Iriondo, Alejandro Morales Martinez, Sharmila Majumdar, Valentina Pedoia

CoRR, 2019

Adversarial Policy Gradient for Deep Learning Image Augmentation.

Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019