Akshay Smit

According to our database, Akshay Smit authored at least 7 papers between 2020 and 2022.

Collaborative distances:

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

2022

MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning.

Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation.

Saahil Jain, Akshay Smit, Andrew Y. Ng, Pranav Rajpurkar

CoRR, 2021

MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning.

Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar

CoRR, 2021

VisualCheXbert: addressing the discrepancy between radiology report labels and image labels.

Saahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set.

Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar

CoRR, 2020

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren

CoRR, 2020

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020