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ORCIDBHI 2023: Pittsburgh, PA, USA
- IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2023, Pittsburgh, PA, USA, October 15-18, 2023. IEEE 2023, ISBN 979-8-3503-1050-4
- Yukai Huang, Dongmin Huang, Jia Wu, Hongzhou Lu, Min He, Wenjin Wang:
Camera-based Plantar Perfusion Imaging for Detecting Lower Limb Arterial Blockage. 1-4 - Jayati H. Jui, Milos Hauskrecht:
Uncovering the Effects of Genes, Proteins, and Medications on Functions of Wound Healing: A Dependency Rule-Based Text Mining Approach Leveraging GPT-4 based Evaluation. 1-4 - Zhuochun Li, Khushboo Thaker, Daqing He:
SiaKey: A Method for Improving Few-shot Learning with Clinical Domain Information. 1-4 - Cristian Roman
, Sarah Vollam, Peter J. Watkinson, Lionel Tarassenko:
Wearables for continuous patient monitoring on COVID-19 isolation wards. 1-4 - Misha Sadeghi, Bernhard Egger, Reza Agahi, Robert Richer, Klara Capito, Lydia Helene Rupp, Lena Schindler-Gmelch, Matthias Berking, Bjoern M. Eskofier:
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data. 1-5 - Peikun Guo, Han Yu, Sruthi Gopinath Karicheri, Allen Kuncheria, Huiyuan Yang, Siena Blackwell, Zulfi Haneef, Akane Sano:
Empowering Wearable Seizure Forecasting with Scheduled Sampling. 1-4 - Simone Toffoli, Francesca Lunardini, Carmen Galán de Isla, Simona Ferrante:
AI-based Ecological Monitoring of Handwriting to Early Detect Cognitive Decline. 1-4 - Josue D. Rodriguez, Mercedes Cabrerizo, Marcos A. Bosques, Ilker Yaylali, Malek Adjouadi:
An Integrated Approach for Focal Cortical Dysplasia Lesion Validation on Preoperative Assessments. 1-4 - Christos Raspoptsis, Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Paula Poikonen-Saksela, Panagiotis G. Simos, Evangelos Karademas, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Dimitrios I. Fotiadis:
Predicting Quality of Life for Breast Cancer Patients *. 1-4 - Adesh Kadambi, José Zariffa:
Providing Hand Use Context for Outpatient Neurorehabilitation with Egocentric Object Detection. 1-4 - Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. 1-4 - Andria Nicolaou, Marios Pantziaris, Christos P. Loizou, Antonis C. Kakas, Constantinos S. Pattichis:
An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features *. 1-4 - Mamata Shrestha, Nian Wang, Ukash Nakarmi:
On Training Model Bias of Deep Learning based Super-resolution Frameworks for Magnetic Resonance Imaging. 1-5 - Micky C. Nnamdi, Wenqi Shi, Ben Junior Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang:
Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. 1-4 - Miseul Kim, Zhenyu Piao, Jihyun Lee, Hong-Goo Kang:
BrainTalker: Low-Resource Brain-to-Speech Synthesis with Transfer Learning using Wav2Vec 2.0. 1-5 - Elham Estiri, Hossein Mirinejad:
Robust Nonlinear State Space Model Identification for Hemorrhage Resuscitation. 1-4 - Ziang Tang, Zachary King, Alicia Choto Segovia, Han Yu, Gia Braddock, Asami Ito, Ryota Sakamoto, Motomu Shimaoka, Akane Sano:
Burnout Prediction and Analysis in Shift Workers: Counterfactual Explanation Approach. 1-4 - Xiaopeng Zhao, Mehmet Aydeniz, Fengpei Yuan:
Exploring Opportunities and Challenges of AI-incorporated Biomedical Informatics Education: A Qualitative Study *. 1-4 - Wei Tang, Peter M. A. van Ooijen, Deborah A. Sival, Natasha M. Maurits:
Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks. 1-4 - Isabella Poles, Eleonora D'Arnese, Federica Buccino, Laura Maria Vergani, Marco D. Santambrogio:
On How to Unravel Bone Microscale Phenomena: A Mask-Guided Attention SR-microCT Image Classification Approach. 1-4 - Linda Vorberg, Siri Pflueger, Robert Richer, Katharina M. Jäger, Arne Küderle, Nicolas Rohleder, Bjoern M. Eskofier:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning. 1-4 - Yijun Ren, Enrico Gianluca Caiani:
Development of a Framework Dealing with Partial Data Unavailability and Unstructuredness to Support Post-Market Surveillance. 1-4 - Sultan Mohammad Manjur, Md Billal Hossain, Paul A. Constable, Dorothy A. Thompson, Fernando Marmolejo-Ramos, Irene O. Lee, Hugo F. Posada-Quintero:
Spectral analysis of Electroretinography to differentiate autism spectrum disorder and attention deficit hyperactivity disorder. 1-4 - Malikeh Ehghaghi, Pei-Yuan Zhou, Wendy Yusi Cheng, Sahar Rajabi, Chih-Hao Kuo, En-Shiun Annie Lee:
Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement. 1-7 - Zhimeng Luo, Yuelyu Ji, Abhibha Gupta, Zhuochun Li, Adam Frisch, Daqing He:
Towards Accurate and Clinically Meaningful Summarization of Electronic Health Record Notes: A Guided Approach. 1-5 - Abhinaba Bhattacharjee, Sohel Anwar, Lexi Whitinger, Mary Terry Loghmani:
Multimodal Sequence Classification of force-based instrumented hand manipulation motions using LSTM-RNN deep learning models. 1-6 - Joshua Putris, Aybike Aydin, Mustafa Balkanas, Ayse Elif Söylemezoglu, Nihal Serdengeçti, Tayyib Kadak, Mahmut Cem Tarakçioglu, Hakan Töreyin:
A Preliminary Investigation into Quantitative Assessment of ADHD Treatment Efficacy on Hyperactivity Levels via Actigraphy. 1-4 - Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi:
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. 1-4 - Mohammad Nikbakht, David Jimmy Lin, Omer T. Inan:
Learning Seismocardiogram Beat Denoising Without Clean Data. 1-4 - Maziyar Baranpouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi, Krishnaprasad Thirunarayan, Lingwei Chen:
Enhancing Rare Cell Type Identification in Single-Cell Data: An Innovative Gene Filtering Approach using Bipartite Cell-Gene Relation Graph. 1-5 - Niloufar Eghbali, Tuka Alhanai, Mohammad M. Ghassemi:
Reinforcement Learning Approach to Sedation and Delirium Management in the Intensive Care Unit. 1-5 - Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George M. Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti:
Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs. 1-5 - Saeka Rahman, Miad Faezipour, Guilherme Aramizo Ribeiro, Elika Ridelman, Justin D. Klein, Beth A. Angst, Christina M. Shanti, Mo Rastgaar:
Attention-Based CNN Model for Burn Severity Assessment. 1-4 - Marc-Adrien Hostin, Shahram Attarian, David Bendahan, Marc-Emmanuel Bellemare:
ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis. 1-4 - M. Mahbubur Rahman, Dario Martelli, Sevgi Zubeyde Gurbuz:
Radar-Based Human Skeleton Estimation with CNN-LSTM Network Trained with Limited Data. 1-4 - Yuanda Zhu, May D. Wang:
Automated Seizure Detection using Transformer Models on Multi-Channel EEGs. 1-6 - Seungeun Lee, Jaeyoung Lee, Moonhyun Lee, JinTak Choi, Kyungtae Kang, Younghoon Kim:
Integrating Genetic Information for Early Alzheimer's Diagnosis through MRI Interpretation. 1-6 - Asiful Arefeen, Hassan Ghasemzadeh:
GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. 1-5 - Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Kia Khezeli, Azra Bihorac, Parisa Rashidi:
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. 1-5 - Vasileios C. Pezoulas, Georg Ehret, Jos A. Bosch, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. 1-4 - Mohammed Nasar Ibrahim, Sandeep Chandra Bollepalli, Amrish Selvam, V. Sant, S. Harihar, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina:
Accurate Detection of 3D Choroidal Vasculature Using Swept-Source OCT Volumetric Scans Based on Phansalkar Thresholding. 1-4 - Edoardo Stoppa, Guido Walter Di Donato, Isabella Poles, Eleonora D'Arnese, Natalie Parde, Marco Domenico Santambrogio:
A Graph Machine Learning approach to Automatic Dementia Detection. 1-4 - Changyi Wu, Dongmin Huang, Xiaoting Tao, Kun Qiao, Hongzhou Lu, Wenjin Wang:
Intelligent Stethoscope using Full Self-Attention Mechanism for Abnormal Respiratory Sound Recognition. 1-4 - Johann Vargas-Calixto, Yvonne Wu, Michael Kuzniewicz, Marie-Coralie Cornet, Heather Forquer, Lawrence Gerstley, Emily F. Hamilton, Philip A. Warrick, Robert E. Kearney:
Accounting for Nulliparity in the Prediction of Hypoxic-Ischemic Encephalopathy Using Cardiotocography *. 1-4 - Marie Oesten, Robert Richer, Luca Abel, Nicolas Rohleder, Bjoern M. Eskofier:
VoStress - Voice-based Detection of Acute Psychosocial Stress. 1-4 - Yiqing Liu, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Framework for Automated Quantification of Calcified Coronary Artery from Intravascular Optical Coherence Tomography Images. 1-4 - Andreas Schuh, Michael Morimoto, Piotr Kaszuba, Kevin Hammond, Jerry Swan, Krzysztof Krawiec, Nl Shasha Jumbe:
Host-directed vibroacoustic biosignature of viral respiratory infection. 1-4 - Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen:
Uncertainty Estimation in Deep Bayesian Survival Models. 1-4 - Xuan Kan, Antonio Aodong Chen Gu, Hejie Cui, Ying Guo, Carl Yang:
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis. 1-4 - Tejaswi Samrat Dasari, Pratima Satish, Laetitia Kayitesi, Mary Mbuvi, Russell Dias, Fabiola Ishimwe Ngamije, Joseph Kwesiga, Robert On, Diane Myung-kyung Woodbridge:
Transforming Adolescent Healthcare in Rwanda: Sustainable and Scalable Features in Digital Health. 1-4 - Rajdeep Kumar Nath, Jaakko Tervonen, Johanna Närväinen, Kati Pettersson, Jani Mäntyjärvi:
Towards Multi-Functional ECG Smart System Based on a Client-Edge-Cloud Architecture. 1-4 - Ralph Saber, Bertrand Routy, Simon Turcotte, Samuel Kadoury:
RNA sequencing-based histological subtyping of non-small cell lung cancer with generative adversarial data imputation. 1-4 - Serouj Khajarian, Stefanie Remmele, Oliver Amft:
Image-based Live Tracking and Registration for AR-Guided Liver Surgery Using Hololens2: A Phantom Study. 1-4 - Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun:
Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. 1-5 - Mohammad Shams, Daniel K. Zondervan, Quentin A. Sanders:
Classification of User Adherence to Home Hand Rehabilitation Technology Using a Feed-Forward Artificial Neural Network. 1-4 - Abdulrahman A. Ahmed, M. Amin Rahimian, Mark S. Roberts:
Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder. 1-4 - Shaun M. Davidson, Cristian Roman, Jonathan Carter, Mirae Harford, Lionel Tarassenko:
Sleep Staging Using Wearables and Deep Neural Networks. 1-4 - Navid Hasanzadeh, Shahrokh Valaee, Hojjat Salehinejad:
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals. 1-4 - Hojjat Karami, Anisoara Ionescu, David Atienza:
Point-process-based Representation Learning for Electronic Health Records. 1-4 - Linda Greta Dui, Chiara Piazzalunga, Simone Toffoli, Stefania Fontolan, Sandro Franceschini, Marisa Bortolozzo, Nunzio Alberto Borghese, Cristiano Termine, Simona Ferrante:
Serious games for a technology-enhanced early screening of handwriting difficulties. 1-4 - Maria Pedroso, Miguel L. Martins, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna:
Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection. 1-5 - Kuan-Hui Liu, Cheng-Yu Chiang, Hsin-Yao Wang, Yi-Ju Tseng:
Temporal Phenotype Matrix Engineering for Electronic Health Records - Enhancing Coronary Artery Disease Prediction. 1-4 - Johanna Bräunig, Desar Mejdani, Daniel Krauss, Stefan Grießhammer, Robert Richer, Christian Schuessler, Julia Beatriz Yip, Tobias Steigleder, Christoph Ostgathe, Bjoern M. Eskofier, Martin Vossiek:
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning. 1-4 - Nafiseh Ghaffar Nia, Amin Amiri, Ahad Nasab, Erkan Kaplanoglu, Yu Liang:
The Power of ANN-Random Forest Algorithm in Human Activities Recognition Using IMU Data. 1-7 - Geonyeong Choi, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong:
Drug Induced Liver Injury Prediction with Injective Molecular Transformer. 1-4 - Yan Meng, James K. Hahn:
An Automatic Grading System for Neonatal Endotracheal Intubation with Multi-Task Convolutional Neural Network. 1-4 - Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi:
ArterialNet: Arterial Blood Pressure Reconstruction. 1-4 - Badhan Mazumder, Deepan Krishna Tripathy, Keith Owen Yeates, Miriam H. Beauchamp, William Craig, Quynh Doan, Stephen B. Freedman, Catherine Lebel, Roger Zemek, Ashley L. Ware, Dong Hye Ye:
Multimodal Deep Learning for Pediatric Mild Traumatic Brain Injury Detection. 1-4 - Emmy Yang, Jake Y. Chen:
Accurate Identification of Human Emotional States from Images Using Deep Learning. 1-4
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last updated on 2024-12-03 20:15 CET by the dblp team
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