Explanipedia

EVALUATION OF MODIFIED SHOCK INDEX AS AN INDICATOR FOR PROGNOSIS AMONG SEPSIS PATIENTS WITH AND WITHOUT COMORBIDITIES PRESENTING TO EMERGENCY DEPARTMENT: A PROSPECTIVE OBSERVATIONAL STUDY Open

E M Surendra, B.S. Manjunath, Kallesh Shamanur, S V Goutham, Salim Anisha · 2025

Background and Aim: Despite the established association between sepsis an pre-existing comorbid conditions, limited information is available about the survival impact on sepsis patients.We aimed to assess the predictive ability of modified…

RareSpot: Spotting Small and Rare Wildlife in Aerial Imagery with Multi-Scale Consistency and Context-Aware Augmentation Open

Bowen Zhang, Jesse T. Boulerice, Nikhil Kuniyil, Charvi Mendiratta, Satish Kumar , et al. · 2025

Automated detection of small and rare wildlife in aerial imagery is crucial for effective conservation, yet remains a significant technical challenge. Prairie dogs exemplify this issue: their ecological importance as keystone species contr…

Expression Study of Bmlipase in Silkworm Bombyx mori midgut against BmNPV Open

M Thanmaya, E. Bhuvaneswari, G Mallikarjuna, Ranjini MS, Nalavadi Chandrakanth , et al. · 2024

Silkworms are susceptible to various pathogens, including bacteria, fungi, viruses, and protozoa. The present study focused on the viral disease known as nucleopolyhedrosis virus, which causes severe infections in silkworms. Silkworms poss…

ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life Open

Chandrakanth Gudavalli, Bowen Zhang, Connor Levenson, Kin Gwn Lore, B.S. Manjunath · 2024

In this paper, we present ReeFRAME, a scalable Reeb graph-based framework designed to analyze vast volumes of GPS-enabled human trajectory data generated at 1Hz frequency. ReeFRAME models Patterns-of-life (PoL) at both the population and i…

Identification of Resistance Gene for Mungbean Yellow Mosaic Virus (MYMV) in Resistant Mungbean Genotypes through RGA Markers Open

M. Shilpa, B.S. Manjunath, C. Sunil, G. K. Sudarshan, N. Nagaraju · 2024

Mungbean is one among the important and major pulse crop for supplementation of protein in subtropical zones of the world. The yield of mungbean is affected by both abiotic and biotic factors. Among the biotic factors, Mungbean yellow mosa…

Q-RBSA: high-resolution 3D EBSD map generation using an efficient quaternion transformer network Open

Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Chandrakanth Gudavalli, Connor Levenson , et al. · 2024

Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning instrument capabilities; however, for crystallographic i…

CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data Open

Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B.S. Manjunath · 2024

Content creation and image editing can benefit from flexible user controls. A common intermediate representation for conditional image generation is a semantic map, that has information of objects present in the image. When compared to raw…

Enhancing blood safety: the utility of NS-1 antigen capture ELISA for detecting acute dengue infections among blood donors during peak transmission periods and the potential to curtail dengue spread Open

Preethika Ravi, Deepa Seetharam, B.S. Manjunath · 2023

Background: Dengue fever is a viral disease transmitted by mosquitoes and affects millions of people worldwide. It can also be transmitted through blood transfusions, particularly during peak transmission periods. Methods: This was a cross…

A robust approach to 3D neuron shape representation for quantification and classification Open

Jiaxiang Jiang, Michael E. Goebel, Cezar Borba, William L. Smith, B.S. Manjunath · 2023

ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI Open

S. Shailja, Vikram Bhagavatula, Matthew Cieslak, Jean M. Vettel, Scott T. Grafton , et al. · 2023

Tractography can generate millions of complex curvilinear fibers (streamlines) in 3D that exhibit the geometry of white matter pathways in the brain. Common approaches to analyzing white matter connectivity are based on adjacency matrices …

ReTrace: Topological evaluation of white matter tractography algorithms using Reeb graphs Open

S. Shailja, Jefferson W. Chen, Scott T. Grafton, B.S. Manjunath · 2023

We present ReTrace, a novel graph matching-based topological evaluation and validation method for tractography algorithms. ReTrace uses a Reeb graph whose nodes and edges capture the topology of white matter fiber bundles. We evaluate the …

AI-based analysis of the shunt treatment in pre- and post-surgery computed tomography brain scans of iNPH patients Open

S. Shailja, Christopher Nguyen, Krithika Thanigaivelan, Vikram Bhagavatula, Jefferson W. Chen , et al. · 2023

Background This study examines whether quantifiable changes can be detected in ventricular volume in Idiopathic Normal Pressure Hydrocephalus (iNPH) patients that undergo ventriculo-peritoneal shunt procedures. There is no known metric tha…

3D Neuron Morphology Analysis Open

Jiaxiang Jiang, Michael E. Goebel, Cezar Borba, William L. Smith, B.S. Manjunath · 2023

We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a comp…

Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network Open

Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Tresa M. Pollock, Samantha Daly , et al. · 2023

Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning instrument capabilities; however, for crystallographic i…

Segmentation, tracking, and sub-cellular feature extraction in 3D time-lapse images Open

Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel , et al. · 2023

Context-Driven Detection of Invertebrate Species in Deep-Sea Video Open

R. Austin McEver, Bowen Zhang, Connor Levenson, Adnan Iftekhar, B.S. Manjunath · 2023

Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully utilizing this information remains…

Adaptable physics-based super-resolution for electron backscatter diffraction maps Open

Devendra K. Jangid, Neal R. Brodnik, Michael Goebel, Amil Khan, SaiSidharth Majeti , et al. · 2022

3D Neuron Morphology Analysis Open

Jiaxiang Jiang, Michael E. Goebel, Cezar Borba, William L. Smith, B.S. Manjunath · 2022

We consider the problem of finding an accurate representation of neuron shapes, extracting sub-cellular features, and classifying neurons based on neuron shapes. In neuroscience research, the skeleton representation is often used as a comp…

LOCL: Learning Object-Attribute Composition using Localization Open

Satish Kumar, ASM Iftekhar, Ekta Prashnani, B.S. Manjunath · 2022

This paper describes LOCL (Learning Object Attribute Composition using Localization) that generalizes composition zero shot learning to objects in cluttered and more realistic settings. The problem of unseen Object Attribute (OA) associati…

A robust Reeb graph model of white matter fibers with application to Alzheimer’s disease progression<sup>⋆</sup> Open

S. Shailja, Scott T. Grafton, B.S. Manjunath · 2022

Tractography generates billions of complex curvilinear fibers (streamlines) in 3D that exhibit the geometry of white matter pathways. Analysis of raw streamlines on such a large scale is time-consuming and intractable. Further, it is well …

Resampling Estimation based RPC Metadata Verification in Satellite Imagery Open

Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran , et al. · 2022

Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to …

Resampling Estimation based RPC Metadata Verification in Satellite Imagery Open

Chandrakanth Gudavalli, Michael Goebel, Tejaswi Nanjundaswamy, Lakshmanan Nataraj, Shivkumar Chandrasekaran , et al. · 2022

Recent advances in machine learning and computer vision have made it simple to manipulate a variety of images, including satellite images. Most of the commercially available satellite images go through the process of orthorectification to …

Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus Open

Angela Zhang, Amil Khan, Saisidharth Majeti, Judy Pham, Christopher Nguyen , et al. · 2022

Objective and Impact Statement . We propose an automated method of predicting Normal Pressure Hydrocephalus (NPH) from CT scans. A deep convolutional network segments regions of interest from the scans. These regions are then combined with…

HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis Open

Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, Shivkumar Chandrasekaran, B.S. Manjunath · 2021

Malicious PDF documents present a serious threat to various security organizations that require modern threat intelligence platforms to effectively analyze and characterize the identity and behavior of PDF malware. State-of-the-art approac…

OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features Open

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Satish Chikkagoudar, Shivkumar Chandrasekaran , et al. · 2021

With the growing number of malware and cyber attacks, there is a need for "orthogonal" cyber defense approaches, which are complementary to existing methods by detecting unique malware samples that are not predicted by other methods. In th…

SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery Open

Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B.S. Manjunath · 2021

Seam carving is a popular technique for content aware image retargeting. It can be used to deliberately manipulate images, for example, change the GPS locations of a building or insert/remove roads in a satellite image. This paper proposes…

A computational geometry approach for modeling neuronal fiber pathways Open

S. Shailja, Angela Zhang, B.S. Manjunath · 2021

We propose a novel and efficient algorithm to model high-level topological structures of neuronal fibers. Tractography constructs complex neuronal fibers in three dimensions that exhibit the geometry of white matter pathways in the brain. …

GTNet:Guided Transformer Network for Detecting Human-Object Interactions Open

Adnan Iftekhar, Satish Kumar, R. Austin McEver, Suya You, B.S. Manjunath · 2021

The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered one of the fundamental steps in truly understanding comple…

Semi Supervised Segmentation And Graph-Based Tracking Of 3d Nuclei In Time-Lapse Microscopy Open

S. Shailja, Jiaxiang Jiang, B.S. Manjunath · 2021

We propose a novel weakly supervised method to improve the boundary of the 3D segmented nuclei utilizing an over-segmented image. This is motivated by the observation that current state-of-the-art deep learning methods do not result in acc…

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices Open

Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed, Shivkumar Chandrasekaran, B.S. Manjunath · 2021

Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothing and other manipulation methods. While most detection met…

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