Advances in Signal Processing and Intelligent Recognition Systems
5th International Symposium, SIRS 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers
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Article
Phase Identification in Synchrotron X-ray Diffraction Patterns of Ti–6Al–4V Using Computer Vision and Deep Learning
X-ray diffraction patterns contain information about the atomistic structure and microstructure (defect population) of materials, extracting detailed information from diffraction patterns is complex, demanding...
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Chapter and Conference Paper
Practical Implications of Dequantization on Machine Learning Algorithms: A Survey
Despite the promise for performance and accuracy improvements of quantum inspired (QI) algorithms over classical machine learning (ML) algorithms, such gains have not been realized in practice. The quantum ins...
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Book and Conference Proceedings
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Chapter and Conference Paper
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks
Total knee arthroplasty (TKA) is one of the most successful surgical procedures worldwide. It improves quality of life, mobility, and functionality for the vast majority of patients. However, a TKA surgery may...
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Article
Special Issue on Healthcare Knowledge Discovery and Management
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Article
Feeding Deterrence Effects of Defatted Jojoba (Simmondisa chinensis) Meal Against Indian Gerbil, Tatera indica (Hardwicke)
In search for safe and eco-friendly management of rodent pests a number of phyto-chemicals have been evaluated as repellent, antifertility agent, antifeedant and toxicant etc. Protein rich residue of seed of J...
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Chapter
Vertebral Column Localization, Labeling, and Segmentation
The vertebral column consists of interconnected bone structures that extend from the neck down to the pelvis. In addition to its crucial functionality in spinal cord protection, it provides the necessary flexi...
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Chapter and Conference Paper
Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model
Lower Back Pain (LBP) is the second most common neurological ailment in the United States after the headache. It costs over $100 billion annually in treatment and related rehabilitation costs including worker ...
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Chapter and Conference Paper
A Supervised Approach Towards Segmentation of Clinical MRI for Automatic Lumbar Diagnosis
Lower back pain (LBP) is widely prevalent in people all over the world. It is associated with chronic pain and change in posture which negatively affects our quality of life. Automatic segmentation of interver...
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Article
Automated segmentation of stromal tissue in histology images using a voting Bayesian model
Over the past two decades, digital histology has been clinically approved for the various cancer diagnosis and prognosis tasks including proliferation rate estimation (PRE). Histology images contain two types ...
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Article
Rack aware scheduling in HPC data centers: an energy conservation strategy
Energy consumption in high performance computing data centers has become a long standing issue. With rising costs of operating the data center, various techniques need to be employed to reduce the overall ener...
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Article
Compression fracture diagnosis in lumbar: a clinical CAD system
Purpose Lower back pain affects 80–90 % of all people at some point during their life time, and it is considered as the second most neurological ailment after headache. It is caused by defects in...
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Article
Disc herniation diagnosis in MRI using a CAD framework and a two-level classifier
Disc herniation in the lumbar spine is a common condition, so an automated method for diagnosis could be helpful in clinical applications. A computer-aided framework for disk herniation diagnosis was developed...
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Article
Toward a clinical lumbar CAD: herniation diagnosis
A CAD system for lumbar disc degeneration and herniation based on clinical MR images can aid diagnostic decision-making provided the method is robust, efficient, and accurate.
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Article
Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI
Detection of abnormal discs from clinical T2-weighted MR Images. This aids the radiologist as well as subsequent CAD methods in focusing only on abnormal discs for further diagnosis. Furthermore, it gives a de...
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Article
A fault-tolerant strategy for virtualized HPC clusters
Virtualization is a common strategy for improving the utilization of existing computing resources, particularly within data centers. However, its use for high performance computing (HPC) applications is curren...
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Chapter and Conference Paper
Web-Based Architecture to Enable Compute-Intensive CAD Tools and Multi-user Synchronization in Teleradiology
Teleradiology is the electronic transmission of radiological patient images, such as x-rays, CT, or MR across multiple locations. The goal could be interpretation, consultation, or medical records kee**. Inf...
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Chapter and Conference Paper
Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features
Repeatable, quantitative assessment of intervertebral disc pathology requires accurate localization and labeling of the lumbar region discs. To that end, we propose a two-level probabilistic model for such dis...
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Article
MPI-HMMER-Boost: Distributed FPGA Acceleration
HMMER, based on the profile Hidden Markov Model (HMM) is one of the most widely used sequence database searching tools, allowing researchers to compare HMMs to sequence databases or sequences to HMM databases....
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Chapter and Conference Paper
A Scalable Asynchronous Replication-Based Strategy for Fault Tolerant MPI Applications
As computational clusters increase in size, their mean-time-to-failure reduces. Typically checkpointing is used to minimize the loss of computation. Most checkpointing techniques, however, require a central st...
