Sam M. Janes

According to our database, Sam M. Janes authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance.

Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob

J. Big Data, December, 2024

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, Daniel C. Alexander, Arjun Nair, Joseph Jacob

Comput. Medical Imaging Graph., 2024

2023

A data-centric deep learning approach to airway segmentation.

Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob

CoRR, 2023

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