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Most Cited & Viewed
Most Cited & Viewed Papers
Citations | Article |
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Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
by
Jörn Lötsch, Dario Kringel and Alfred Ultsch
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Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
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An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification
by
Milot Gashi, Matej Vuković, Nikolina Jekic, Stefan Thalmann, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
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|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
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Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
by
Bunyodbek Ibrokhimov and Justin-Youngwook Kang
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The Use of the Random Number Generator and Artificial Intelligence Analysis for Dimensionality Reduction of Follicular Lymphoma Transcriptomic Data
by
Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Rifat Hamoudi and Naoya Nakamura
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Analyzing Large Microbiome Datasets Using Machine Learning and Big Data
by
Thomas Krause, Jyotsna Talreja Wassan, Paul Mc Kevitt, Haiying Wang, Huiru Zheng and Matthias Hemmje
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A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
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Citations | Article |
---|---|
Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
|
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Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
by
Bunyodbek Ibrokhimov and Justin-Youngwook Kang
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|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
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Interpretable Machine Learning with Brain Image and Survival Data
by
Matthias Eder, Emanuel Moser, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
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Applications of Deep Learning for Drug Discovery Systems with BigData
by
Yasunari Matsuzaka and Ryu Yashiro
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3D Printing as an Efficient Way to Prototype and Develop Dental Implants
by
Carlos Aurelio Andreucci, Elza M. M. Fonseca and Renato N. Jorge
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AlphaFold2 Update and Perspectives
by
Sébastien Tourlet, Ragousandirane Radjasandirane, Julien Diharce and Alexandre G. de Brevern
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Citations | Article |
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A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
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AlphaFold2 Update and Perspectives
by
Sébastien Tourlet, Ragousandirane Radjasandirane, Julien Diharce and Alexandre G. de Brevern
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Detection of Myocardial Infarction Using Hybrid Models of Convolutional Neural Network and Recurrent Neural Network
by
Sumayyah Hasbullah, Mohd Soperi Mohd Zahid and Satria Mandala
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Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis
by
Syed Ahmmed, Prajoy Podder, M. Rubaiyat Hossain Mondal, S M Atikur Rahman, Somasundar Kannan, Md Junayed Hasan, Ali Rohan and Alexander E. Prosvirin
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Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
by
Hadrien T. Gayap and Moulay A. Akhloufi
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Effective Feature Engineering and Classification of Breast Cancer Diagnosis: A Comparative Study
by
Emilija Strelcenia and Simant Prakoonwit
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An Explainable AI System for the Diagnosis of High-Dimensional Biomedical Data
by
Alfred Ultsch, Jörg Hoffmann, Maximilian A. Röhnert, Malte von Bonin, Uta Oelschlägel, Cornelia Brendel and Michael C. Thrun
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Deep Learning and Federated Learning for Screening COVID-19: A Review
by
M. Rubaiyat Hossain Mondal, Subrato Bharati, Prajoy Podder and Joarder Kamruzzaman
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Genomics for Emerging Pathogen Identification and Monitoring: Prospects and Obstacles
by
Vishakha Vashisht, Ashutosh Vashisht, Ashis K. Mondal, Jaspreet Farmaha, Ahmet Alptekin, Harmanpreet Singh, Pankaj Ahluwalia, Anaka Srinivas and Ravindra Kolhe
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Citations | Article |
---|---|
Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
by
Jörn Lötsch, Dario Kringel and Alfred Ultsch
|
|
Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
High Expression of Caspase-8 Associated with Improved Survival in Diffuse Large B-Cell Lymphoma: Machine Learning and Artificial Neural Networks Analyses
by
Joaquim Carreras, Yara Yukie Kikuti, Giovanna Roncador, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Sawako Shiraiwa, Kiyoshi Ando, Naoya Nakamura and Rifat Hamoudi
|
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Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification
by
Milot Gashi, Matej Vuković, Nikolina Jekic, Stefan Thalmann, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
|
|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
|
|
Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
by
Bunyodbek Ibrokhimov and Justin-Youngwook Kang
|
|
The Use of the Random Number Generator and Artificial Intelligence Analysis for Dimensionality Reduction of Follicular Lymphoma Transcriptomic Data
by
Joaquim Carreras, Yara Yukie Kikuti, Masashi Miyaoka, Shinichiro Hiraiwa, Sakura Tomita, Haruka Ikoma, Yusuke Kondo, Atsushi Ito, Rifat Hamoudi and Naoya Nakamura
|
Views | Article |
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Networks in Healthcare: A Systematic Review
by
Santhosh Kumar Rajamani and Radha Srinivasan Iyer
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A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
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Minimal Hip Joint Space Width Measured on X-rays by an Artificial Intelligence Algorithm—A Study of Reliability and Agreement
by
Anne Mathilde Andersen, Benjamin S. B. Rasmussen, Ole Graumann, Søren Overgaard, Michael Lundemann, Martin Haagen Haubro, Claus Varnum, Janne Rasmussen and Janni Jensen
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AlphaFold2 Update and Perspectives
by
Sébastien Tourlet, Ragousandirane Radjasandirane, Julien Diharce and Alexandre G. de Brevern
|
|
Genomics for Emerging Pathogen Identification and Monitoring: Prospects and Obstacles
by
Vishakha Vashisht, Ashutosh Vashisht, Ashis K. Mondal, Jaspreet Farmaha, Ahmet Alptekin, Harmanpreet Singh, Pankaj Ahluwalia, Anaka Srinivas and Ravindra Kolhe
|
|
Effective Feature Engineering and Classification of Breast Cancer Diagnosis: A Comparative Study
by
Emilija Strelcenia and Simant Prakoonwit
|
|
Synthetic MRI Generation from CT Scans for Stroke Patients
by
Jake McNaughton, Samantha Holdsworth, Benjamin Chong, Justin Fernandez, Vickie Shim and Alan Wang
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An IoT-Based Automatic and Continuous Urine Measurement System
by
Alexander Lee, Melissa Lee and Hsi-Jen James Yeh
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Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
by
Hadrien T. Gayap and Moulay A. Akhloufi
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An Efficient COVID-19 Mortality Risk Prediction Model Using Deep Synthetic Minority Oversampling Technique and Convolution Neural Networks
by
Rajkumar Soundrapandiyan, Adhiyaman Manickam, Moulay Akhloufi, Yarlagadda Vishnu Srinivasa Murthy, Renuka Devi Meenakshi Sundaram and Sivasubramanian Thirugnanasambandam
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Downloads | Article |
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Analysis of Single-Cell RNA-Sequencing Data: A Step-by-Step Guide
by
Aanchal Malhotra, Samarendra Das and Shesh N. Rai
|
|
Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
by
Jörn Lötsch, Dario Kringel and Alfred Ultsch
|
|
An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
Applications of Deep Learning for Drug Discovery Systems with BigData
by
Yasunari Matsuzaka and Ryu Yashiro
|
|
Adjusted Sample Size Calculation for RNA-seq Data in the Presence of Confounding Covariates
by
Xiaohong Li, Shesh N. Rai, Eric C. Rouchka, Timothy E. O’Toole and Nigel G. F. Cooper
|
|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification
by
Milot Gashi, Matej Vuković, Nikolina Jekic, Stefan Thalmann, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
|
|
Ultrasound Elastography: Basic Principles and Examples of Clinical Applications with Artificial Intelligence—A Review
by
Maurizio Cè, Natascha Claudia D'Amico, Giulia Maria Danesini, Chiara Foschini, Giancarlo Oliva, Carlo Martinenghi and Michaela Cellina
|
Downloads | Article |
---|---|
Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
Applications of Deep Learning for Drug Discovery Systems with BigData
by
Yasunari Matsuzaka and Ryu Yashiro
|
|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
Ultrasound Elastography: Basic Principles and Examples of Clinical Applications with Artificial Intelligence—A Review
by
Maurizio Cè, Natascha Claudia D'Amico, Giulia Maria Danesini, Chiara Foschini, Giancarlo Oliva, Carlo Martinenghi and Michaela Cellina
|
|
Interpretable Machine Learning with Brain Image and Survival Data
by
Matthias Eder, Emanuel Moser, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
|
|
Chest X-ray Abnormality Detection by Using Artificial Intelligence: A Single-Site Retrospective Study of Deep Learning Model Performance
by
Daniel Kvak, Anna Chromcová, Marek Biroš, Robert Hrubý, Karolína Kvaková, Marija Pajdaković and Petra Ovesná
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
Downloads | Article |
---|---|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
|
AlphaFold2 Update and Perspectives
by
Sébastien Tourlet, Ragousandirane Radjasandirane, Julien Diharce and Alexandre G. de Brevern
|
|
Networks in Healthcare: A Systematic Review
by
Santhosh Kumar Rajamani and Radha Srinivasan Iyer
|
|
Genomics for Emerging Pathogen Identification and Monitoring: Prospects and Obstacles
by
Vishakha Vashisht, Ashutosh Vashisht, Ashis K. Mondal, Jaspreet Farmaha, Ahmet Alptekin, Harmanpreet Singh, Pankaj Ahluwalia, Anaka Srinivas and Ravindra Kolhe
|
|
Deep Machine Learning for Medical Diagnosis, Application to Lung Cancer Detection: A Review
by
Hadrien T. Gayap and Moulay A. Akhloufi
|
|
Survey of Multimodal Medical Question Answering
by
Hilmi Demirhan and Wlodek Zadrozny
|
|
Recent Advances in Large Language Models for Healthcare
by
Khalid Nassiri and Moulay A. Akhloufi
|
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Automatic Facial Palsy, Age and Gender Detection Using a Raspberry Pi
by
Ali Saber Amsalam, Ali Al-Naji, Ammar Yahya Daeef and Javaan Chahl
|
|
Synthetic MRI Generation from CT Scans for Stroke Patients
by
Jake McNaughton, Samantha Holdsworth, Benjamin Chong, Justin Fernandez, Vickie Shim and Alan Wang
|
|
Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis
by
Syed Ahmmed, Prajoy Podder, M. Rubaiyat Hossain Mondal, S M Atikur Rahman, Somasundar Kannan, Md Junayed Hasan, Ali Rohan and Alexander E. Prosvirin
|
Downloads | Article |
---|---|
Analysis of Single-Cell RNA-Sequencing Data: A Step-by-Step Guide
by
Aanchal Malhotra, Samarendra Das and Shesh N. Rai
|
|
Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
by
Jörn Lötsch, Dario Kringel and Alfred Ultsch
|
|
An LDA–SVM Machine Learning Model for Breast Cancer Classification
by
Onyinyechi Jessica Egwom, Mohammed Hassan, Jesse Jeremiah Tanimu, Mohammed Hamada and Oko Michael Ogar
|
|
Applications of Deep Learning for Drug Discovery Systems with BigData
by
Yasunari Matsuzaka and Ryu Yashiro
|
|
Adjusted Sample Size Calculation for RNA-seq Data in the Presence of Confounding Covariates
by
Xiaohong Li, Shesh N. Rai, Eric C. Rouchka, Timothy E. O’Toole and Nigel G. F. Cooper
|
|
Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic
by
Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, M. M. Mahbubul Syeed, Harunur Rashid and Md Shaheed Reza
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification
by
Milot Gashi, Matej Vuković, Nikolina Jekic, Stefan Thalmann, Andreas Holzinger, Claire Jean-Quartier and Fleur Jeanquartier
|
|
Ultrasound Elastography: Basic Principles and Examples of Clinical Applications with Artificial Intelligence—A Review
by
Maurizio Cè, Natascha Claudia D'Amico, Giulia Maria Danesini, Chiara Foschini, Giancarlo Oliva, Carlo Martinenghi and Michaela Cellina
|