Jesus J. Caban

According to our database1, Jesus J. Caban authored at least 44 papers between 2007 and 2019.

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

Timeline

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Bibliography

2019
Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation.
J. Am. Medical Informatics Assoc., 2019

2018
DeepDx: A Deep Learning Approach for Predicting the Likelihood and Severity of Symptoms Post Concussion.
Proceedings of the Brain Informatics - International Conference, 2018

Evaluating Mental Health Encounters in mTBI: Identifying Patient Subgroups and Recommending Personalized Treatments.
Proceedings of the Brain Informatics - International Conference, 2018

2017
A Grammar-based Approach for Modeling User Interactions and Generating Suggestions During the Data Exploration Process.
IEEE Trans. Vis. Comput. Graph., 2017

A timeline-based framework for aggregating and summarizing electronic health records.
Proceedings of the IEEE Workshop on Visual Analytics in Healthcare, 2017

Current State of Visualization of EHR data - What's needed? What's next?
Proceedings of the AMIA 2017, 2017

2016
Health Care Utilization by Active Duty Service Members following a mild Traumatic Brain Injury.
Proceedings of the AMIA 2016, 2016

A K-Reversible Approach to Model Clinical Trajectories.
Proceedings of the AMIA 2016, 2016

Workshop on Visual Analytics in Healthcare.
Proceedings of the AMIA 2016, 2016

2015
Visual analytics in healthcare - opportunities and research challenges.
J. Am. Medical Informatics Assoc., 2015

Five-dimensional ultrasound system for soft tissue visualization.
Int. J. Comput. Assist. Radiol. Surg., 2015

Visualization of longitudinal clinical trajectories using a graph-based approach.
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, 2015

Leveraging Big Data to Model the Likelihood of Developing Psychological Conditions After a Concussion.
Proceedings of the INNS Conference on Big Data 2015, 2015

A Neural Network Based Model for Predicting Psychological Conditions.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

A grammar-based approach to model the patient's clinical trajectory after a mild traumatic brain injury.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Visiual Analytics for Healthcare.
Proceedings of the Healthcare Data Analytics., 2015

2014
Understanding the effects of concussion using big data.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Quantitative analysis of TDLUs using adaptive morphological shape techniques.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Characterization of T2 hyperintensity lesions in patients with mild traumatic brain injury.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans.
IEEE Trans. Biomed. Eng., 2012

2011 Workshop on Visual Analytics in Healthcare: understanding the physician perspective.
SIGHIT Rec., 2012

Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features.
J. Digit. Imaging, 2012

Corrigendum to "Computer-assisted detection of infectious lung diseases: A review" [Comput. Med. Imag. Graph. 36(2012) 72-84].
Comput. Medical Imaging Graph., 2012

Computer-assisted detection of infectious lung diseases: A review.
Comput. Medical Imaging Graph., 2012

Automatic quantification of Tree-in-Bud patterns from CT scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic identification of prescription drugs using shape distribution models.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Characterizing non-linear dependencies among pairs of clinical variables and imaging data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
An Evaluation of Visualization Techniques to Illustrate Statistical Deformation Models.
Comput. Graph. Forum, 2011

Multi-dimensional transfer functions for effective visualization of streaming ultrasound and elasticity images.
Proceedings of the Medical Imaging 2011: Visualization, 2011

Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Enhancing image classification models with multi-modal biomarkers.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Toward quantitative X-ray CT phantoms of metastatic tumors using rapid prototyping technology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Monitoring pulmonary fibrosis by fusing clinical, physiological, and computed tomography features.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A graph-theoretic approach for segmentation of PET images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Automatic detection of tree-in-bud patterns for computer assisted diagnosis of respiratory tract infections.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Relational statistical deformation models for morphological image analysis and classification.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

An MRF-based statistical deformation model for morphological image analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Case Study on Visualizing Hurricanes Using Illustration-Inspired Techniques.
IEEE Trans. Vis. Comput. Graph., 2009

Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Texture-based Transfer Functions for Direct Volume Rendering.
IEEE Trans. Vis. Comput. Graph., 2008

2007
Texture-based feature tracking for effective time-varying data visualization.
IEEE Trans. Vis. Comput. Graph., 2007

Texture-based computer-aided diagnosis system for lung fibrosis.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007


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