Anand Devaraj

According to our database, Anand Devaraj authored at least 4 papers between 2020 and 2022.

Collaborative distances:

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

2022

Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.

Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Arjun Nair, Daniel C. Alexander, SUMMIT consortium, Joseph Jacob

CoRR, 2022

2021

Is MC Dropout Bayesian?

Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker

CoRR, 2021

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2021

2020

Bayesian Sampling Bias Correction: Training with the Right Loss Function.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2020