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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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Artificial Intelligence: The Milestone in Modern Biomedical Research
by
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos and Andreas Scorilas
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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
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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
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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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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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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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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
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
|
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
|
|
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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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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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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Blood Pressure Estimation from Photoplythmography Using Hybrid Scattering–LSTM Networks
by
Osama A. Omer, Mostafa Salah, Ammar M. Hassan, Mohamed Abdel-Nasser, Norihiro Sugita and Yoshifumi Saijo
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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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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
|
|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
|
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
|
Views | Article |
---|---|
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
by
Muhammad Turab and Sonain Jamil
|
|
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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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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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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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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Supporting the Demand on Mental Health Services with AI-Based Conversational Large Language Models (LLMs)
by
Tin Lai, Yukun Shi, Zicong Du, Jiajie Wu, Ken Fu, Yichao Dou and Ziqi Wang
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Multimodal Deep Learning Methods on Image and Textual Data to Predict Radiotherapy Structure Names
by
Priyankar Bose, Pratip Rana, William C. Sleeman IV, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta and Preetam Ghosh
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NJN: A Dataset for the Normal and Jaundiced Newborns
by
Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed and Ali Al-Naji
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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
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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
|
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 |
---|---|
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
|