Login / Signup
Sam M. Janes
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 4
Top Topics
X Ray Images
Weakly Supervised
Deep Learning
Lung Nodules
Top Venues
CoRR
J. Big Data
Comput. Medical Imaging Graph.
</>
Publications
</>
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
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph.
116 (2024)
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
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance.
J. Big Data
11 (1) (2024)
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
A data-centric deep learning approach to airway segmentation.
CoRR
(2023)
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
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR
(2022)