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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
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
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
|
|
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
|
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Deep Learning Model for COVID-19-Infected Pneumonia Diagnosis Using Chest Radiography Images
by
Bunyodbek Ibrokhimov and Justin-Youngwook Kang
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
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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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Citations | Article |
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Application of Standardized Regression Coefficient in Meta-Analysis
by
Pentti Nieminen
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
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
|
|
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
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
|
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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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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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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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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A Methodological Approach to Extracting Patterns of Service Utilization from a Cross-Continuum High Dimensional Healthcare Dataset to Support Care Delivery Optimization for Patients with Complex Problems
by
Jonas Bambi, Yudi Santoso, Hanieh Sadri, Ken Moselle, Abraham Rudnick, Stan Robertson, Ernie Chang, Alex Kuo, Joseph Howie, Gracia Yunruo Dong, Kehinde Olobatuyi, Mahdi Hajiabadi and Ashlin Richardson
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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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Citations | Article |
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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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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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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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A Methodological Approach to Extracting Patterns of Service Utilization from a Cross-Continuum High Dimensional Healthcare Dataset to Support Care Delivery Optimization for Patients with Complex Problems
by
Jonas Bambi, Yudi Santoso, Hanieh Sadri, Ken Moselle, Abraham Rudnick, Stan Robertson, Ernie Chang, Alex Kuo, Joseph Howie, Gracia Yunruo Dong, Kehinde Olobatuyi, Mahdi Hajiabadi and Ashlin Richardson
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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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Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents
by
Shadi Askari, Alireza Ghofrani and Hamed Taherdoost
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Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones
by
Michele Giuseppe Di Cesare, David Perpetuini, Daniela Cardone and Arcangelo Merla
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Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures
by
Kannan Mayuri, Durairaj Varalakshmi, Mayakrishnan Tharaheswari, Chaitanya Sree Somala, Selvaraj Sathya Priya, Nagaraj Bharathkumar, Renganathan Senthil, Raja Babu Singh Kushwah, Sundaram Vickram, Thirunavukarasou Anand and Konda Mani Saravanan
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BioMedInformatics, the Link between Biomedical Informatics, Biology and Computational Medicine
by
Alexandre G. de Brevern
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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
|
|
Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
|
|
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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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
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
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
|
|
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 IoT-Based Automatic and Continuous Urine Measurement System
by
Alexander Lee, Melissa Lee and Hsi-Jen James Yeh
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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
|
|
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
|
|
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
|
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
|
|
Recent Advances in Large Language Models for Healthcare
by
Khalid Nassiri and Moulay A. Akhloufi
|
|
Survey of Multimodal Medical Question Answering
by
Hilmi Demirhan and Wlodek Zadrozny
|
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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
|
|
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
|
|
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
|