Lauren Kim

According to our database1, Lauren Kim authored at least 19 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Large-Scale Nonverbal Vocalization Detection Using Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach.
Proceedings of the Interspeech 2022, 2022

2020
Writing Strategies for Science Communication: Data and Computational Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2017
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2016
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016

Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Colitis detection on abdominal CT scans by rich feature hierarchies.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Colitis detection on computed tomography using regional convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
Medical Image Anal., 2015

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Anatomy-specific classification of medical images using deep convolutional nets.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Interleaved text/image Deep Mining on a large-scale radiology database.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Predicting a multi-parametric probability map of active tumor extent using random forests.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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