Yashbir Singh

Yashbir Singh
Mayo Clinic - Rochester · Department of Radiology

Graduate Student

About

53
Publications
6,184
Reads
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115
Citations
Citations since 2016
48 Research Items
114 Citations
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Introduction
Currently, I am involved in developing innovative informatics tools that can extract and convey the wealth of information available in medical images in a clear and concise fashion to improve patient outcomes.
Additional affiliations
May 2018 - July 2018
Otto-von-Guericke-Universität Magdeburg
Position
  • Fellow
September 2016 - present
Chung Yuan Christian University
Position
  • PhD Student
January 2016 - July 2016
Indian Institute of Technology Mandi
Position
  • Fellow
Education
July 2013 - June 2015
July 2009 - June 2013
M.J.P. Rohilkhand University
Field of study
  • Pharmaceutics

Publications

Publications (53)
Article
Full-text available
Background Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease that can lead to cirrhosis and hepatic decompensation. However, predicting future outcomes in patients with PSC is challenging. Our aim was to extract magnetic resonance imaging (MRI) features that predict the development of hepatic decompensation by applying alg...
Preprint
Full-text available
Objective: Scar tissue is an identified cause for the development of malignant ventricular arrhythmias in patients of myocardial infarction, which ultimately leads to cardiac death, a fatal outcome. We aim to evaluate the left ventricular endocardial Scar tissue pattern using Radon descriptor-based machine learning. We performed automated LV segmen...
Article
Full-text available
Objective Atrial Fibrillation (A-fib) is an abnormal heartbeat condition in which the heart races and beats in an uncontrollable way. It is observed that the presence of increased epicardial fat/fatty tissue in the atrium can lead to A-fib. Persistent homology using topological features can be used to recapitulate enormous amounts of spatially comp...
Article
There are increasing concerns about the bias and fairness of artificial intelligence (AI) models as they are put into clinical practice. Among the steps for implementing machine learning tools into clinical workflow, model development is an important stage where different types of biases can occur. This report focuses on four aspects of model devel...
Article
Minimizing bias is critical to adoption and implementation of machine learning (ML) in clinical practice. Systematic mathematical biases produce consistent and reproducible differences between the observed and expected performance of ML systems, resulting in suboptimal performance. Such biases can be traced back to various phases of ML development:...
Article
The increasing use of machine learning (ML) algorithms in clinical settings raises concerns about bias in ML models. Bias can arise at any step of ML creation, including data handling, model development, and performance evaluation. Potential biases in the ML model can be minimized by implementing these steps correctly. This report focuses on perfor...
Article
Heart disease has a higher fatality rate than any other disease. Increased Atrial fat on the left atrium has been discovered to cause Atrial Fibrillation (AF) in most patients. AF can put one's life at risk and eventually lead to death. AF might worsen over time; therefore, it is crucial to have an early diagnosis and treatment. To evaluate the lef...
Chapter
In this study, we focus on Task 1 of the 2021 Multimodal Brain Tumor Segmentation (BraTS) challenge. We present a modified U-net model aimed at improving the segmentation of glioblastomas, reducing the computation time without compromising detection sensitivity. Our automated approach takes multimodal MR images as input, generates a bounding box of...
Article
Full-text available
Breast cancer metastases are most commonly found in bone, an indication of poor prognosis. Pathway-based biomarkers identification may help elucidate the cellular signature of breast cancer metastasis in bone, further characterizing the etiology and promoting new therapeutic approaches. We extracted gene expression profiles from mouse macrophages f...
Article
Full-text available
Primary sclerosis cholangitis (PSC) predisposes individuals to liver failure, but it is challenging for radiologists examining radiologic images to predict which patients with PSC will ultimately develop liver failure. Motivated by algebraic topology, a topological data analysis - inspired framework was adopted in the study of the imaging pattern b...
Article
Atrial Fibrillation (A-fib) is a common cardiac rhythm problem in the population these days in which irregular heartbeat leads to blood clots, heart failure, stroke, and other significant clinical complications. Researchers have found that the atrial fat can lead to AF in most patients. To develop an automated method for detecting the epicardial fa...
Article
Background The Zebrafish animal model has potential use to study COVID19 infection in-depth due to its genetic similarity with humans. It has antiviral property. As we know, that SARS-CoV-2 is an RNA virus, which has high genetic mutation rate and thus difficult to understand its structure. It is a great way to understand the genetic dynamics of ze...
Article
Scar tissues have been important factors in determining the progression of myocardial diseases and the development of adverse cardiac failure outcomes. Accurate segmentation of the scar tissues can be helpful to the clinicians for risk prediction and better evaluation of cardiovascular diseases. Our goal is to apply topology data analysis toward ma...
Article
Atrial fibrillation is a disorder in which there is a chaotic fire of electrical signals from the upper chambers of the heart. The identification of the location of the myocardium responsible for firing these signals and ablation of the area may potentially cure the problem. The electrophysiologists may have to insert the probes or catheters and do...
Article
Full-text available
Atrial fibrillation is a disorder in which there is a chaotic fire of electrical signals from the upper chambers of the heart. The identification of the location of the myocardium responsible for firing these signals and ablation of the area may potentially cure the problem. The electrophysiologists may have to insert the probes or catheters and do...
Article
Full-text available
Background Maturation of ultrasound myocardial tissue characterization may have far-reaching implications as a widely available alternative to cardiac magnetic resonance (CMR) for risk stratification in left ventricular (LV) remodeling. Methods We extracted 328 texture-based features of myocardium from still ultrasound images. After we explored th...
Conference Paper
Scar tissue is an identified cause for the development of malignant ventricular arrhythmias in patients of myocardial infarction, which ultimately leads to cardiac death, a fatal outcome. The scar formation is an irreversible process of the formation of dead muscle cells that is related to the blockage of a coronary artery. Here, we present a frame...
Chapter
Minimal invasive device insertion into the soft tissue is a very important medical approach that is helpful for local drug delivery, biopsy, regional anesthesia, blood sampling, and radiofrequency ablation. These methods need to introduce the MID inside the body for exploring the tissue texture pattern. We propose a novel approach by acquiring acou...
Article
Background: Image evaluation of scar tissue plays a significant role in the diagnosis of cardiovascular diseases. Segmentation of the scar tissue is the first step towards evaluating the morphology of the scar tissue. Then, with the use of CT images, the deep learning approach can be applied to identify possible scar tissue in the left ventricular...
Conference Paper
This research develops a framework to segment scar tissue in the LV endocardium wall using computer tomography (CT) with a convolution neural network. The dataset was divided into training images (N = 105) and testing images (N = 44) using the Pixel value classification concept. We achieved 89.23% accuracy, 91.11% sensitivity, and 87.75% specificit...
Poster
Full-text available
Atrial fibrillation is a quivering of heartbeat that can lead to blood clots, stroke, heart failure and other heart-related complications. It can affect adults of any age group, but it is very frequent in older people. It affects about 7 in 100 people aged over 65. More men than women have atrial fibrillation. In this work, we used CT images of ten...
Poster
Full-text available
Recent studies suggest that central blood pressure(cBP) is more strongly related to cardiovascular events, and many non-invasive devices are available to measure the cBP. Most of them are measured by oscillometric method, yet the most critical one to study the blood pressure waveforms. But due to excessive circuits in these device, which tend to ca...
Conference Paper
Full-text available
Atrial fibrillation is a cardiac malfunction characterized by rapid irregular heartbeats which leads to an abnormality of atrial ejection fraction. The radio ablation or medication can aid in blocking the unwanted electrical pathway on the atrium. To assess the post-operative results of these procedures non-invasively through medical images can be...
Conference Paper
Full-text available
Medical interventional devices (MIDs) are commonly used to provide access for minimally invasive diagnosis. In this study, We propose the very advanced technique for studying medical interventional devices (MID) with soft tissue interaction by extracting acoustic emission data from the proximal end of the MID. We have to extract dynamical character...
Conference Paper
Full-text available
Cardiac disease is a primary cause of death worldwide. Prior study has indicated that the dynamics of the cardiac left ventricle (LV) during diastolic filling is a major indicator of cardiac viability. Hence, studies have aimed to evaluate cardiac health based on quantitative parameters unfolding LV function. In this research, it is demonstrated th...
Conference Paper
Full-text available
Cardiac disease is a primary cause of death worldwide. Prior studies have indicated that the dynamics of the cardiac left ventricular (LV) during diastolic filling is a major indicator of cardiac viability. Hence, studies have aimed to evaluate cardiac health based on quantitative parameters unfolding LV function. In this research, it is demonstrat...
Conference Paper
Full-text available
Cardiovascular disease can be detected by measuring the regional and global wall motion of the left ventricle (LV) of the heart; In this study, we designed a dynamic simulation tool using Computed Tomography (CT) images to assess the difference between actual and simulated left ventricular functions. Thirteen healthy subjects were involved in the s...
Article
Full-text available
Heart disease can be determined by the calculating regional and global wall motion of the left ventricular (LV). In this research, we designed a dynamic simulation tool using Computed Tomography (CT) images that helps to find the difference between actual and simulated left ventricular functions. In this study, thirteen healthy subjects were involv...
Conference Paper
Full-text available
The myocardial contraction creates an effective cardiovascular pumping system. While regional dysfunction of myocardium leads to functional abnormality of cardiac wall motion that is one of the risk factors for ventricular remodeling. It helps in the early phase detecting abnormalities of wall motion while wall motion of cardiac cycle make difficul...
Article
Full-text available
Myocardial contraction affects the cardiovascular pumping system, and helps in the early phase to detect abnormalities of wall motion noninvasively. In this research, we designed a program to characterize regional abnormalities because scar tissue is very difficult to identify in normal cardiac CT images. We created 10 frames of a 3D heart model th...
Article
Full-text available
Background: Strain Ankara has proved a great help to the mankind for eradicating life-threatening pox disease. In past two decades, it has been realized that its role was not limited to develop vaccine only but extended widely as potential therapeutics against cancer and understanding several mechanisms related to virus-host interactions. With the...
Article
Full-text available
Cardiac Electrophysiology study is the origin and treatment of arrhythmia, which is an abnormality in the rate, regularity or sequence of cardiac activation. There has been considerable recent development in this field, where computational methods such as Imaging and Machine Learning for Cardiac Electrophysiology, provide the framework for cardiac...
Poster
Full-text available
Cardiac muscle contraction helps in the detection of wall motion abnormalities. The muscular walls of each heart chamber contract in a regulated sequence, pumping blood as required by the body while expending as little energy as possible during each heartbeat. In this research, we have focused on central axis movement using 4D images. We proposed a...
Article
Full-text available
Arterial stiffness has been proven to be one of the most promising diagnostic and prognostic features of many cardiovascular diseases (CVD). Arterial compliance (AC) and pulse wave velocity (PWV) allows a good quantitative assessment of arterial stiffness. To estimate pulmonary Arterial Compliance and Pulse Wave Velocity in Cerebral-Cardiovascular...
Article
Full-text available
Most of the epidemiological studies have shown a good relationship between blood pressure and manifestation of cardiovascular diseases (CVD). CVD has become a very common health condition that exhibits significant changes in distensibilility, compliance, and elastic modulus of the arterial vascular system. The main causes of this disease are the sp...
Article
Full-text available
Rooming-in is the arrangement that allows mothers and newborn babies in the same room during the postpartum hospital stay. This practice gives an opportunity for the parent to have more affectionate touch with their infants. However, the influence of intimate contact on neonate’s physiological changes has not been studied. Our study is purposed to...
Article
Full-text available
Cereal grain bread wheat (T. aestivum) is an important source of food and belongs to Poaceae family. Hypothetical proteins (HPs), i.e., proteins with unknown functions, share a substantial portion of wheat proteomes and play important roles in growth and physiology of plant system. Several functional annotations studies utilizing the protein sequen...
Article
Full-text available
The Human Papilloma Viruses (HPV) are nonenveloped, small DNA virus, which are responsible for worldwide problem. HPVS can be associated with different varieties of epidermal manifestations. It belongs to the Papovavirus family. On the basis of oncogenic potential these have been classified as high risk and low risk types of virus. Currently histop...
Article
Full-text available
Bioisosteres are major challenge to change a compound with high affinity to a biological lead in to a successful drug. It showes one approach used by the pharmaceutical chemist for the rational modification. The objective of a bioisosteric replacement is to modify a new compound with same biological properties to the original compound and improve t...

Questions

Questions (7)
Question
Anybody has idea about how to 'get_transforms' in fastai'.
Question
Nowadays, 3D cardiac models are becoming increasingly complex and are currently used in other areas such as cardiac image segmentation, statistical modelling of cardiac anatomy, patient risk stratification or surgical planning.
Question
Sometimes deformation of multiple vortex become very late . Heart create some problems because of of late dilation. How can we deform multiple vortex using action potential of heart muscles?
Question
There are too many vortex form when heart pumps, we are not able to predict the number of vortex in left ventricular region.
Question
There are too many vortex form when heart pumps, we are not able to predict the number of vortex in left ventricular region.
Question
Sometimes deformation of multiple vortex become very late . Heart create some problems because of of late dilation.
How can we deform multiple vortex using action potential of heart muscles?

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Projects

Projects (7)
Project
https://inbes2020.akrit.org/ The Faculty of Sciences Agadir, Ibn Zohr University in collaboration with the Association of Knowledge, Research and Innovation Technologies (A.K.R.I.T), The Laboratories: Lab.SIE/FPO, LETSMP/FSA, LMTI/FSA and CED Ibn Zohr University. Organizes The First edition of the International Network of Biomaterials and Engineering Science (INBES’2020). The Conference will be held at the Faculty of Medecine and Pharmacy, Agadir- Morocoo. The International Network of Biomaterials and Engineering Science (INBES’2020) well be held during April 16-18, 2020 in Agadir, Morocco. This is a fabulous open door for the representatives from Universities and Institutes to communicate with the world-class Scientists. The International Network of Biomaterials and Engineering Science (INBES) highlights the latest research innovations of the multidisciplinary Sciences designed for optimization applications within the fields of Biomarials, Engineering, Mathematics, Computer Science, Information Technology, Physics and Chemical, Biological and Health Systems. Focusing on a variety of Methods and techniques as well as theoretical and practical examples, this network is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems. The second subject of the INBES is to organize a parallel workshops for training in the new technologies and applications such as Artificial Intelligence, renewable energies, computer science and engineering have reduced the dimension of data coverage worldwide. We make sure to support and motivate ‘Young Researchers’ by: Establishing their academic and professional relationships. Improving their morale and confidence of presenting research in an international platform. Interacting with expertise in their respective departments. Clearing your inhibitions of adjusting to the foreign environment. Providing a holistic experience of academic tourism. PUBLICATIONS All Selected papers will be published in Book Chapters and SCI, SCIE, Scopus, SSCI, ESCI, SJR, ISI Web of Science Journals. Multi-Disciplinary Scopus Indexed Journals