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Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)
Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ...
Estimation of dynamic detector confidence thresholds in SAS imagery using mixture models
(University of Missouri--Columbia, 2019)
As machine learning has matured over the years, more and more safety critical tasks have been entrusted to computers. Automated target recognition (ATR), the problem of identifying explosive hazards on the sea?oor, is one ...
PRIMEGENSv2 : a service based platform using object oriented model view controller design pattern
(University of Missouri--Columbia, 2009)
There are a number of tools and software packages dealing with the problem of efficient primer and probe design. In an era of fast paced research it is rather difficult for any researcher to change their favorite tool. So ...
Natural language models for protein predictions using anti-CRISPR as a case
(University of Missouri--Columbia, 2022)
of CRISPRCas based biotechnological tools, i.e., gene editing. These proteins are widespread amongst bacteriophages and past studies have identified several Acrs, but a challenge still exists to comprehensively identify Acrs accurately and efficiently from...
Local and deep texture features for classification of natural and biomedical images
(University of Missouri--Columbia, 2019)
Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ...
Improving protein structure prediction by deep learning and computational optimization
(University of Missouri--Columbia, 2019)
Protein structure prediction is one of the most important scientific problems in the field of bioinformatics and computational biology. The availability of protein three-dimensional (3D) structure is crucial for studying ...
Three dimensional reconstruction of plant roots via low energy x-ray computed tomography
(University of Missouri--Columbia, 2018)
Plant roots are vital organs for water and nutrient uptake. The structure and spatial distribution of plant roots in the soil affects a plant's physiological functions such as soil-based resource acquisition, yield and its ...
Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network
(University of Missouri--Columbia, 2012)
Deoxyribonucleic acid, or DNA, encodes genetic instructions for the functionalities of organisms. For human beings, 23 pairs of chromosomes, containing DNA strands, form a globule structure in the nucleus. This chromosomal ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...
Intelligent orchestration of computation and networking for drone swarm applications
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 5/1/2024] Drone swarms that are equipped with high-resolution sensors and video cameras can benefit many applications (e.g., disaster response management, smart farming, traffic control). This requires sensor localization and access...