Siddharth Biswal

According to our database1, Siddharth Biswal authored at least 20 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Automated Scoring of Respiratory Events in Sleep With a Single Effort Belt and Deep Neural Networks.
IEEE Trans. Biomed. Eng., 2022

EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision.
Proceedings of the Machine Learning for Healthcare Conference, 2022

2021
Automated Respiratory Event Detection Using Deep Neural Networks.
CoRR, 2021

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
Proceedings of the Machine Learning for Healthcare Conference, 2021

2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
CoRR, 2020

CLARA: Clinical Report Auto-completion.
CoRR, 2020

Clinical Report Auto-completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
EEGtoText: Learning to Write Medical Reports from EEG Recordings.
Proceedings of the Machine Learning for Healthcare Conference, 2019

2018
Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition.
IEEE Trans. Biomed. Eng., 2018

Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc., 2018

HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR, 2018

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
CoRR, 2017

SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR, 2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.
Proceedings of the Machine Learning for Health Care Conference, 2017

2016
Heart rate variability as a biomarker for sedation depth estimation in ICU patients.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Personalized Sedation Level Monitoring in ICU Patients Using Heart Rate Variability.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Automated information extraction from free-text EEG reports.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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