-
Article
Free-water correction DTI-based tractography in brain tumor surgery: assessment with functional and electrophysiological map** of the white matter
Peritumoral edema prevents fiber tracking from diffusion tensor imaging (DTI). A free-water correction may overcome this drawback, as illustrated in the case of a patient undergoing awake surgery for brain met...
-
Article
Open AccessArtificial intelligence-based locoregional markers of brain peritumoral microenvironment
In malignant primary brain tumors, cancer cells infiltrate into the peritumoral brain structures which results in inevitable recurrence. Quantitative assessment of infiltrative heterogeneity in the peritumoral...
-
Article
Open AccessThe University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
Glioblastoma is the most common aggressive adult brain tumor. Numerous studies have reported results from either private institutional data or publicly available datasets. However, current public datasets are ...
-
Article
Open AccessClinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Multi-omic data, i.e., clinical measures, radiomic, and genetic data, capture multi-faceted tumor characteristics, contributing to a comprehensive patient risk assessment. Here, we investigate the additive val...
-
Article
Optimization of hybrid amplifier parameters for improved optical link performance
In this manuscript, the gain of the EDFA-Raman hybrid optical amplifier (HOA) is maximized using a popular nature inspired Whale Optimization Algorithm (WOA). The dominating parameters of HOA, length of Raman ...
-
Article
Open AccessDistinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases
Tumor types are classically distinguished based on biopsies of the tumor itself, as well as a radiological interpretation using diverse MRI modalities. In the current study, the overarching goal is to demonstr...
-
Chapter and Conference Paper
Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders
The original version of this chapter was revised. Figure 2 was updated with the correct numbers.
-
Chapter and Conference Paper
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview
The purpose of this manuscript is to provide an overview of the technical specifications and architecture of the Cancer imaging Phenomics Toolkit (CaPTk www.cbica.upenn.edu/captk
-
Chapter and Conference Paper
Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders
Advances in neuroimaging techniques such as diffusion MRI and functional MRI enabled evaluation of the brain as an information processing network that is called connectome. Connectomic analysis has led to nume...
-
Article
Open AccessDeviation from normative brain development is associated with symptom severity in autism spectrum disorder
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition. The degree to which the brain development in ASD deviates from typical brain development, and how this deviation relates to obser...
-
Chapter and Conference Paper
Multimodal Patho-Connectomics of Brain Injury
The paper introduces the concept of patho-connectomics, an injury-specific connectome creation and analysis paradigm, that treats injuries as a diffuse disease pervading the whole brain network. The foundation of...
-
Chapter and Conference Paper
A Graph Based Similarity Measure for Assessing Altered Connectivity in Traumatic Brain Injury
Traumatic brain injury (TBI) arises from disruptions in the structural connectivity of brain, which further manifests itself as alterations in the functional connectivity, eventually leading to cognitive and b...
-
Chapter and Conference Paper
Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination
Finding an accurate microstructural characterization of the peritumoral region is essential to distinguish between edema and infiltration, enabling the distinction between tumor types, and to improve tractogra...
-
Chapter and Conference Paper
A Graph Representation and Similarity Measure for Brain Networks with Nodal Features
The human brain demonstrates a network structure that is commonly represented using graphs with pseudonym connectome. Traditionally, connectomes encode only inter-regional connectivity as edges, while regional...
-
Chapter and Conference Paper
Edema-Informed Anatomically Constrained Particle Filter Tractography
In this work, we propose an edema-informed anatomically constrained tractography paradigm that enables reconstructing larger spatial extent of white matter bundles as well as increased cortical coverage in the...
-
Chapter and Conference Paper
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma
Quantitative research, especially in the field of radio(geno)mics, has helped us understand fundamental mechanisms of neurologic diseases. Such research is integrally based on advanced algorithms to derive ext...
-
Chapter and Conference Paper
Subject-Specific Structural Parcellations Based on Randomized AB-divergences
Brain parcellation provides a means to approach the brain in smaller regions. It also affords an appropriate dimensionality reduction in the creation of connectomes. Most approaches to creating connectomes sta...
-
Chapter and Conference Paper
Label-Informed Non-negative Matrix Factorization with Manifold Regularization for Discriminative Subnetwork Detection
In this paper, we present a novel method for obtaining a low dimensional representation of a complex brain network that: (1) can be interpreted in a neurobiologically meaningful way, (2) emphasizes group diffe...
-
Article
Joint Analysis of Band-Specific Functional Connectivity and Signal Complexity in Autism
Examination of resting state brain activity using electrophysiological measures like complexity as well as functional connectivity is of growing interest in the study of autism spectrum disorders (ASD). The pr...
-
Chapter and Conference Paper
Towards a Quantified Network Portrait of a Population
Computational network analysis has enabled researchers to investigate patterns of interactions between anatomical regions of the brain. Identification of subnetworks of the human connectome can reveal how the ...
