Research
Topological Data Analysis
Cardiovascular Disease, Cardiovascular Diseases
Hepatology
Radiology
Convolutional Neural Network, Convolutional Neural Networks
Deep Learning Model, Deep Learning Models
Medical Imaging, Medical Images
New Dimension, New Dimensions
Current Challenges
Machine Learning Approach, Machine Learning Approaches
Machine Learning Integration
Mitigating Bias
Existing Research
Algebraic Topology
Computed Tomography
Ct Images, Ct Imaging
Scar Tissue
Google Cloud
Parental Contact
Functional Annotation
Advancing Precision Medicine
Case Report
Computational Pathology
Diabetes Prediction
Differential Geometry
Gastric Emptying
Generative Ai
Geometric Analysis
Machine Learning Based
Metabolic Dysfunction Associated Fatty Liver
Retrospective Cohort Study
Skin Cancer Detection
Bias Detection
Computer Vision
Critical Role
Current State
Genetic Mutation
Ph Monitoring
Mr Images
Potential Biomarker, Potential Biomarkers
Drug Design
Cardiac Electrophysiology
Cardiac Ultrasound
Soft Tissue, Soft Tissues
Non Invasive Sensors
Signal Processing
Initial Experience
Left Ventricle
Research Pipeline
Specific Model
Topological Features
Atrial Fibrillation
Ejection Fraction
List of Publications (98)
In 2024
98
A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data. NK Siva, Y Singh, QA Hathaway, PP Sengupta, N Yanamala Scientific reports 14 (1), 10672, 2024.
Found on Publication Page
97
Topological Deep Learning: A New Dimension in Gastroenterology for Metabolic Dysfunction-Associated Fatty Liver. Y Singh, R Ammar, M Shehata Cureus 16 (5), 2024.
Found on Publication Page
96
Factors Associated With Delayed Gastric Emptying in Symptomatic Diabetic and Non-diabetic Patients: A Retrospective Observational Study. M Shehata, I Al Hosani, Y Singh, A Alali, S Khan, M Al Zaabi, O Khadam, ... Cureus 16 (4), 2024.
Found on Publication Page
95
Deep Learning-Based Prediction of Hepatic Decompensation in Patients With Primary Sclerosing Cholangitis With Computed Tomography. Y Singh, S Faghani, JE Eaton, SK Venkatesh, BJ Erickson Mayo Clinic Proceedings: Digital Health 2 (3), 470-476, 2024.
Found on Publication Page
94
Self-Supervised Learning in Skin Cancer Detection: The Roles of Topological Contrastive Learning with Geometric Analysis. Y Singh, Q Hathaway, B Erickson Journal of Dermatology and Skin Science 2, 2024.
Found on Publication Page
93
Beyond pixels: Graph filtration learning unveils new dimensions in hepatocellular carcinoma imaging. Y Singh Oncotarget 15, 532, 2024.
Found on Publication Page
92
Persistence Image from 3D Medical Image: Superpixel and Optimized Gaussian Coefficient. Y Zhu, Y Singh, K Younis, S Bao, Y Huo arXiv preprint arXiv:2408.07905, 2024.
Found on Publication Page
91
Checklist for Reproducibility of Deep Learning in Medical Imaging. M Moassefi, Y Singh, GM Conte, B Khosravi, P Rouzrokh, S Vahdati, ... Journal of Imaging Informatics in Medicine, 1-10, 2024.
Found on Publication Page
90
Factors Associated With Short-Term Complications After Percutaneous Endoscopic Gastrostomy Tube Insertion: A Retrospective Cohort Study. M Shehata, I Al Hosani, I Ahmed, HA Alkas, O Khaddam, AA Aljanahi, ... Cureus 16 (3), 2024.
Found on Publication Page
89
Advancing precision medicine: algebraic topology and differential geometry in radiology and computational pathology. RM Levenson, Y Singh, B Rieck, QA Hathaway, C Farrelly, J Rozenblit, ... Laboratory Investigation 104 (6), 102060, 2024.
Found on Publication Page
88
Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis. Y Singh, QA Hathaway, BJ Erickson Oncotarget 15, 607, 2024.
Found on Publication Page
87
Comprehensive segmentation of gray matter structures on T1-weighted brain MRI: A Comparative Study of CNN, CNN hybrid-transformer or-Mamba architectures. Y Wei, JM Jagtap, Y Singh, B Khosravi, J Cai, JL Gunter, BJ Erickson American Journal of Neuroradiology, 2024.
Found on Publication Page
85
Analyzing classification and feature selection strategies for diabetes prediction across diverse diabetes datasets. K Srinivasan, S Atalla, W Mansoor, Y Himeur, DV Vera Garcia, Y Singh, ... Frontiers in Artificial Intelligence 7, 1421751, 2024.
Found on Publication Page
83
Successful Retrieval of 35 Razors From the Stomach via Upper Gastrointestinal (GI) Endoscopy: A Case Report. M Shehata, HA Dafalla, Y Singh Cureus 16 (1), 2024.
Found on Publication Page
In 2023
82
A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis. S Dixit, K Bohre, Y Singh, Y Himeur, W Mansoor, S Atalla, K Srinivasan Electronics 12 (4), 783, 2023.
Found on Publication Page
81
The future of gpt: A taxonomy of existing chatgpt research, current challenges, and possible future directions. SS Sohail, F Farhat, Y Himeur, M Nadeem, D Madsen, Y Singh, S Atalla, ... Current Challenges, and Possible Future Directions (April 8, 2023), 2023.
Found on Publication Page
80
The role of geometry in convolutional neural networks for medical imaging. Y Singh, C Farrelly, QA Hathaway, A Choudhary, G Carlsson, B Erickson, ... Mayo Clinic Proceedings: Digital Health 1 (4), 519-526, 2023.
Found on Publication Page
79
Management of Atrial Fibrillation Post Transcatheter Aortic Valve Implantation. S Banga, GS Abela, F Saltiel, T Fischell, JK Kalavakunta, A Sood, G Jolly, ... The American Journal of Cardiology 200, 171-177, 2023.
Found on Publication Page
78
Identifying genetic mutation in glioma using multi-MRI radiomics and topological signatures. YS Sufyan Ibrahim, Nitesh Naik, Rahul Paul AANS2023, 2023.
Found on Publication Page
77
Topological data analysis in medical imaging: current state of the art. Y Singh, CM Farrelly, QA Hathaway, T Leiner, J Jagtap, GE Carlsson, ... Insights into Imaging 14 (1), 58, 2023.
Found on Publication Page
76
Federated learning for computer vision. Y Himeur, I Varlamis, H Kheddar, A Amira, S Atalla, Y Singh, F Bensaali, ... arXiv preprint arXiv:2308.13558, 2023.
Found on Publication Page
75
Predictors of Pathological Gastroesophageal Reflux among Emirati Patients with Reflux Symptoms Who Undergo Wireless pH Monitoring. MA Shehata, TA Malik, MHJ Alzaabi, ABA Al Ali, KSA Al Tenaiji, Y Singh, ... Middle East Journal of Digestive Diseases 15 (4), 242, 2023.
Found on Publication Page
74
Current topological and machine learning applications for bias detection in text. C Farrelly, Y Singh, QA Hathaway, G Carlsson, A Choudhary, R Paul, ... 2023 6th International Conference on Signal Processing and Information ..., 2023.
Found on Publication Page
73
Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions. SS Sohail, F Farhat, Y Himeur, M Nadeem, D Madsen, Y Singh, S Atalla, ... Journal of King Saud University-Computer and Information Sciences, 101675, 2023.
Found on Publication Page
72
To predict the left ventricular endocardial scar tissue pattern using Radon descriptor-based machine learning. Y Singh, S Atalla, W Mansoor, R Paul, D Deepa BMC Research Notes 16 (1), 185, 2023.
Found on Publication Page
71
Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions. S Saquib Sohail, F Farhat, Y Himeur, M Nadeem, D ivind Madsen, ... arXiv e-prints, arXiv: 2307.14107, 2023.
Found on Publication Page
70
Leveraging Radon Descriptors and Machine Learning to Anticipate Left Ventricular Endocardial Scar Tissue Patterns. Y Singh, D Deepa EasyChair, 2023.
Found on Publication Page
69
The critical role of homotopy continuation in robotic-assisted surgery-Future Perspective. Y Singh, C Farrelly, QA Hathaway, AR Carrubba, D Deepa, M Friebe, ... 2023 Tenth International Conference on Social Networks Analysis, Management ..., 2023.
Found on Publication Page
68
Topology-Aware GAN (TopoGAN): Transforming Medical Imaging Advances. H Patel, C Farrelly, QA Hathaway, JZ Rozenblit, D Deepa, Y Singh, ... 2023 Tenth International Conference on Social Networks Analysis, Management ..., 2023.
Found on Publication Page
67
Deep learning approach for differentiating indeterminate adrenal masses using CT imaging. Y Singh, ZS Kelm, S Faghani, D Erickson, T Yalon, I Bancos, BJ Erickson Abdominal Radiology 48 (10), 3189-3194, 2023.
Found on Publication Page
In 2022
66
Mitigating bias in radiology machine learning: 3. Performance metrics. S Faghani, B Khosravi, K Zhang, M Moassefi, JM Jagtap, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220061, 2022.
Found on Publication Page
65
Potential Contributions of AI against COVID-19. S Sarasamma, Y Singh Artificial Intelligence Applications in a Pandemic, 53-59, 2022.
Found on Publication Page
64
Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI Using a Three-Dimensional U-Net. BJE Yujia Wei,Jason C. Cai,Jaidip M. Jagtap,Yashbir Singh SIIM22, 2022.
Found on Publication Page
63
Genome-wide expression reveals potential biomarkers in breast cancer bone metastasis. Y Singh, N Subbarao, A Jaimini, QA Hathaway, A Kunovac, B Erickson, ... Journal of integrative bioinformatics 19 (3), 20210041, 2022.
Found on Publication Page
62
Betti-number based machine-learning classifier frame-work for predicting the hepatic decompensation in patients with primary sclerosing cholangitis. Y Singh, W Jons, JD Sobek, JE Eaton, BJ Erickson, BJ Anderies, J Jagtap 2022 IEEE 12th Annual Computing and Communication Workshop and Conference ..., 2022.
Found on Publication Page
61
Radon descriptor-based machine learning using CT images to predict the fat tissue on left atrium in the heart. D Deepa, Y Singh, W Hu, MC Wang Proceedings of the Institution of Mechanical Engineers, Part H: Journal of ..., 2022.
Found on Publication Page
60
Su1346: COMPUTED TOMOGRAPHY BASED RADIOMICS SIGNATURE: A POTENTIAL INDICATOR IN PRIMARY SCLEROSIS CHOLANGITIS USING THE BODY COMPOSITION MODEL. Y Singh, JD Sobek, J Jagtap, GM Conte, P Korfiatis, JE Eaton, B Erickson Gastroenterology 162 (7), S-1190, 2022.
Found on Publication Page
59
Tracking and Analyzing COVID-19 Pandemic Using Twitter and Topic Modelling. P Gangwar, Y Singh, V Singh Artificial Intelligence Applications in a Pandemic, 93-99, 2022.
Found on Publication Page
58
A new TDA-based machine learning classifier framework for predicting hepatic decompensation from MR images. Y Singh, W Jons, JE Eaton, JD Sobek, J Jagtap, GM Conte, ... Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and ..., 2022.
Found on Publication Page
57
Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis. Y Singh, WA Jons, JE Eaton, M Vesterhus, T Karlsen, I Bjoerk, ... European radiology experimental 6 (1), 58, 2022.
Found on Publication Page
56
Artificial Intelligence Applications in a Pandemic: COVID-19. S Krit, V Singh, M Elhoseny, Y Singh CRC Press, 2022.
Found on Publication Page
55
Scar Tissue Evaluation in the Left Ventricular Endocardial Wall Using Pixel-Based Concept. Y Singh, S Deepa, H Patel, JMRS Tavares, SE Krit, W Hu Distributed Sensing and Intelligent Systems: Proceedings of ICDSIS 2020, 547-555, 2022.
Found on Publication Page
54
Mitigating bias in radiology machine learning: 1. Data handling. P Rouzrokh, B Khosravi, S Faghani, M Moassefi, DV Vera Garcia, Y Singh, ... Radiology: Artificial Intelligence 4 (5), e210290, 2022.
Found on Publication Page
53
Mitigating bias in radiology machine learning: 2. Model development. K Zhang, B Khosravi, S Vahdati, S Faghani, F Nugen, ... Radiology: Artificial Intelligence 4 (5), e220010, 2022.
Found on Publication Page
52
Comparative study of left atrium epicardial fat tissue pattern using persistent homology approach. GEC Deepa Deepa, Yashbir Singh, Wathiq Mansoor, Weichih Hu, Rahul Paul BMC Research Notes, 2022.
Found on Publication Page
In 2021
51
Artificial Intelligence Applications in a Pandemic COVID-19. YS Krit Salah-ddine, Mohamed Elhoseny, Vrijendra Singh .
Found on Publication Page
50
Deep-learning Nodule Segmentation using the Lung Image Database Consortium (LIDC) dataset on Google Cloud Platform (GCP). BJE Kuan (Kevin) Zhang, Gian Marco Conte, Pouria Rouzrokh, Yashbir (Yash) Singh CMIMI2021, 2021.
Found on Publication Page
49
Detection of the LV Scar Tissue Using Convolution Neural Network (https://hdl.handle.net/11296/scke23). Y Singh Chung Yuan Christian University (DOI:10.6840/cycu202100117), 2021.
Found on Publication Page
48
Topological Features are More Critical than Radiomics Features for Texture Analysis. GEC Vishnu Swarup, Yashbir Singh, Himanshu Narayan Singh EC Neurology 14 (1 - 2022), 2021.
Found on Publication Page
47
In a Patient-specific Model: The Role of Deep Learning and Radiomic Features. HNS Vishnu Swarup, Yashbir Singh EC Neurology 13 (Issue 12 - 2021), 63-64, 2021.
Found on Publication Page
46
Mri brain tumor segmentation using deep encoder-decoder convolutional neural networks. BB Yan, Y Wei, JMM Jagtap, M Moassefi, DVV Garcia, Y Singh, S Vahdati, ... International MICCAI Brainlesion Workshop, 80-89, 2021.
Found on Publication Page
45
An automated method for detecting atrial fat using convolutional neural network. D Deepa, Y Singh, MC Wang, W Hu Proceedings of the Institution of Mechanical Engineers, Part H: Journal of ..., 2021.
Found on Publication Page
44
Persistent homology approach distinguishes potential pattern between "Early" and "Not Early" hepatic decompensation groups using MRI modalities. Y Singh, W Jons, GM Conte, J Jagtap, K Zhang, JD Sobek, P Rouzrokh, ... Current Directions in Biomedical Engineering 7 (2), 488-491, 2021.
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43
Geometrical evaluation of the Scar in Left ventricle using TDA. Y Singh, S Deepa, W Mansoor, W Hu 2021 IEEE 11th Annual Computing and Communication Workshop and Conference ..., 2021.
Found on Publication Page
42
Persistence Homology Machine learning approach in medical imaging informatics. Y Singh Mayo Clinic Artificial Intelligence Symposium LIVESTREAMING-CT, 2021, 2021.
Found on Publication Page
41
Revisit to AI Segmentation Models for Median Nerve Segmentation in Carpal Tunnel Syndrome Ultrasound Data. MC Jaidip M. Jagtap, PhD, PD Julia Starlinger, MD, ... CMIMI2021, 2021.
Found on Publication Page
40
Building a Research Pipeline in the Cloud: An Initial Experience with the National Cancer Institute Cancer Research Data Commons Infrastructure. MC Gian Marco Conte, MD, PhD, PD Yashbir Singh, ... CMIMI2021, 2021.
Found on Publication Page
39
Deep-learning Nodule Segmentation Using the Lung Image Database Consortium (LIDC) Dataset on Google Cloud Platform (GCP. MC Kuan Zhang, PhD, PD Gian Marco Conte, MD, ... CMIMI2021, 2021.
Found on Publication Page
38
Demo Demonstration of Training Deep Learning Models on Medical Imaging Data Using Imaging Data Commons (IDC) Datasets, Google Cloud Platform, and MONAI Framework. MC Pouria Rouzrokh, MD, MPH, MHPE, PD Gian Marco Conte, MD, ... CMIMI2021, 2021.
Found on Publication Page
37
Deep Learning Approach for Differentiating Adrenocortical Carcinoma from Large, Lipid-Poor Adenomas Using Contrast-Enhanced CT. MC Yashbir Singh, PhD, MDPD Zachary S. Kelm, MD Tal Yalon, ... CMIMI2021, 2021.
Found on Publication Page
In 2020
36
A Dual-space Variational Network for MR Imaging Reconstruction. BJE Kuan (Kevin) Zhang, Kenneth A. Philbrick, Gian Marco Conte, Qiao Huang ... .
Found on Publication Page
35
A low-cost texture-based pipeline for predicting myocardial tissue remodeling and fibrosis using cardiac ultrasound. N Kagiyama, S Shrestha, JS Cho, M Khalil, Y Singh, A Challa, ... EBioMedicine 54, 2020.
Found on Publication Page
34
Utilizing Zebrafish Animal Model as a Helping Hand for COVID-19 Infection. ACSD Yashbir Singh, Heenaben Patel Coronaviruses 2 (2), 272 - 274, 2020.
Found on Publication Page
33
Exploring the possibilities to characterize the soft tissue using Acoustic emission waveforms. Y Singh, WC Hu, A Illanes, M Friebe Future Trends in Biomedical and Health Informatics and Cybersecurity in ..., 2020.
Found on Publication Page
32
An automated method for detecting the scar tissue in the left ventricular endocardial wall using deep learning approach. Y Singh, D Shakyawar, W Hu Current medical imaging 16 (3), 206-213, 2020.
Found on Publication Page
31
Non-ischemic endocardial scar geometric remodeling toward topological machine learning. Y Singh, D Shakyawar, W Hu Proceedings of the Institution of Mechanical Engineers, Part H: Journal of ..., 2020.
Found on Publication Page
30
Functional Annotation and Identification of Putative Drug Target in VV. Y Singh, S Deepa, W Mansoor 2020 3rd International Conference on Signal Processing and Information ..., 2020.
Found on Publication Page
29
Scar tissue evaluation in the left ventricular endocardial wall using Pixel-based concept. WH Yashbir singh, Deepa The 1st International Conference on Distributed Sensing and Intelligent ..., 2020.
Found on Publication Page
28
A Dual-space Variational Network for MR Imaging Reconstruction. PD Kuan (Kevin) Zhang, PhD, Mayo Clinic Kenneth A. Philbrick, ... CMIMI2020, 2020.
Found on Publication Page
27
Machine Learning Integration in Cardiac Electrophysiology. PC Yashbir singh, Deepa, Joao Manuel R. S. Tavares, Krit Salahddine, Weichih hu Journal of Advanced Research in Dynamical and Control Systems 12 (04), 942-944, 2020.
Found on Publication Page
26
Battle of COVID-19: Where We Can Take The Help Of Machine Learning To Win?. W Mansoor, Y Singh International Seminar of Science and Applied Technology (ISSAT 2020), 8-10, 2020.
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25
ULTRASOUND TISSUE TEXTURE-BASED ANALYSIS OF MYOCARDIAL FIBROSIS: RADIOMICS AND MACHINE LEARNING APPROACH. N Kagiyama, S Shrestha, JS Cho, M Khalil, Y Singh, A Challa, ... Journal of the American College of Cardiology 75 (11_Supplement_1), 3564-3564, 2020.
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In 2019
24
Automatic Scar tissue segmentation in CT with Convolutional Neural Networks. Y Singh, TP Deepa, G Garttan, W Hu BOOK OF PROCEEDINGS, 15, 2019.
Found on Publication Page
23
IEEE Engineering in Medicine & Biology International Student Conference 2019, Magdeburg, Germany: book of proceedings. M Weinreich, F Al-Jaberi Otto von Guericke University Library, Magdeburg, Germany, 2019.
Found on Publication Page
22
Automatic Scar tissue segmentation in CT with Convolutional Neural Networks. WH Yashbir singh, Deepa IEEE Engineering in Medicine & Biology International Student Conference 2019 ..., 2019.
Found on Publication Page
In 2018
21
POST-OPERATIVE NON-INVASIVELY ASSESSMENT OF EJECTION FRACTION IN PATIENTS OF ATRIAL FIBRILLATION. WH Deepa,Yashbir Singh, Michael Friebe GCBME2018, Taiwan, 2018.
Found on Publication Page
20
Non-invasive sensors and signal processing for guiding medical interventional devices. MF Yashbir Singh,Hu Wei-Chih, Alfredo Illanes GCBME2018, Taiwan, 2018.
Found on Publication Page
19
Development of 4D Dynamic Simulation Tool for the Evaluation of Left Ventricular Myocardial Functions. Y Singh, SY Wu, M Friebe, JMRS Tavares, H Wei-Chih .
Found on Publication Page
18
Development of 4D dynamic simulation tool for the evaluation of left ventricular myocardial functions. YS Deepa, SY Wu, M Friebe, JMRS Tavares, H Wei-Chih World Academy of Science, Engineering and Technology, International Science ..., 2018.
Found on Publication Page
17
Effect of left ventricular longitudinal axis variation in pathological hearts using Deep learning. Y Singh, SY Wu, JMRS Tavares, M Friebe, W Hu Easy Chair, 2018.
Found on Publication Page
16
Identification of Novel Abiotic Stress Proteins in Triticum aestivum Through Functional Annotation of Hypothetical Proteins. S Gupta, Y Singh, H Kumar, U Raj, AR Rao, PK Varadwaj Interdisciplinary Sciences: Computational Life Sciences 10, 205-220, 2018.
Found on Publication Page
15
Cardiac Electrophysiology Studies Based on Image and Machine Learning. WH Yashbir Singh,Deepa,Shi-Yi Wu,Michael Friebe,Joa o Manuel R. S. Tavares Journal of Biomedical Engineering and Technology 6 (1), 1, 2018.
Found on Publication Page
14
Non-invasive sensors and signal processing for guiding medical interventional devices. Y Singh, W Hu, A Illanes, M Friebe .
Found on Publication Page
13
Detection of low wall motion and comparison study with scar tissue using 4D left ventricle cardiac images. CY Lee, Y Singh, WC Hu 2018 7th International Symposium on Next Generation Electronics (ISNE), 1-3, 2018.
Found on Publication Page
12
Comparative Study of Left Ventricular Low Wall Motion with Scar Tissue Using 4D Left Ventricular Cardiac Images. HWC Chien-Yi Lee, Yashbir Singh, Michael Friebe Journal of Biomedical Engineering and Medical Imaging 5 (2), 2018.
Found on Publication Page
11
Implementing Archimedean Spiral Approach to Evaluate Left Ventricular Myocardial Functions. HWC Yashbir Singh, Deepa, Shi Yi Wu, Michael Friebe, Joao Manuel R. S. Tavares JOURNAL OF BIOMEDICAL ENGINEERING AND MEDICAL IMAGING 5 (3), 2018.
Found on Publication Page
10
Functional annotation and identification of putative drug target in strain ankara. HNS Yashbir Singh, Deepa Shakyawar Cytotherapy, 20(5), 2018.
Found on Publication Page
In 2017
9
Development and Evaluation of Neonate Physiological Index at Parental Contact. HWC Hsin-Hung Kuo,Yashbir Singh,Min Chun Lee American Journal of Biomedical Research 5 (3), 73-77, 2017.
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8
To Estimate Pulmonary Arterial Compliance and Pulse Wave Velocity in Cerebral-Cardiovascular Patients Using CT Cardiac Images. WC Hu, HM Tsao, JX Zhi, HCT Herman, LL Tayo, Y Singh, S Kathiravan, ... .
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7
Comparative Study of Arterial Compliance Using Invasive and Noninvasive Blood Pressure Waveform. IL Chen, Y Singh, W Hu Journal of Biomedical Engineering 5 (1), 25-29, 2017.
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In 2015
6
A REVIEW ON EPIDERMAL MANIFESTATION OF PAPPILOMA VIRUS INFECTION IN HUMAN. Y Singh, R Tripathi, S Guttula, S Patel International Journal of Pharmaceutical Sciences and Research 6 (8), 3146-3150, 2015.
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5
Prediction of IncRNA using deep learning approach. R Tripathi, V Kumari, S Patel, Y Singh, P Varadwaj International Conference on Advances in Biotechnology (BioTech). Proceedings ..., 2015.
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4
A Review Report on Newer Advancement in Bioisosteric Replacement in Drug Design. TR Yashbir Singh, S. Shweta J.Yashasvi International Journal of Pharma Sciences and Research, 2015.
Found on Publication Page
Unspecified
3
Semi-Supervised Inpainting Model Designed as Auxiliary Loss for Medical Imaging Classifications. BJE Kuan Zhang, Eric G. Fuemmeler, Seyed Moein Rassoulini Mousavi, Yashbir Singh SIIM2022, 0.
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1
MACHINE LEARNING-BASED COMBINED TOPOLOGICAL AND RADIOMICS SIGNATURE APPLYING THE BODY COMPOSITION MODEL FOR PREDICTION OF HEPATIC DECOMPENSATION. Y Singh, JD Sobek, JE Eaton, BJ Erickson .
Found on Publication Page
