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BHI 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
Predicting Quality of Life for Breast Cancer Patients *. 1-4 - Adesh Kadambi
Providing Hand Use Context for Outpatient Neurorehabilitation with Egocentric Object Detection. 1-4 - Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi
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
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
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
Classification of Movement Disorders Using Video Recordings of Gait with Attention-based Graph Convolutional Networks. 1-4 - Isabella Poles, Eleonora D'Arnese
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
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
A Preliminary Investigation into Quantitative Assessment of ADHD Treatment Efficacy on Hyperactivity Levels via Actigraphy. 1-4 - Lida Zhang, Sicong Huang
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. 1-4 - Mohammad Nikbakht
Learning Seismocardiogram Beat Denoising Without Clean Data. 1-4 - Maziyar Baran Pouyan, Hossein Mohammadi, Hojjat Torabi Goudarzi
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
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
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
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
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
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
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
Accounting for Nulliparity in the Prediction of Hypoxic-Ischemic Encephalopathy Using Cardiotocography *. 1-4 - Marie Oesten, Robert Richer, Luca Abel
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
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
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
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
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
Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder. 1-4 - Shaun M. Davidson
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
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
An Automatic Grading System for Neonatal Endotracheal Intubation with Multi-Task Convolutional Neural Network. 1-4 - Sicong Huang
ArterialNet: Arterial Blood Pressure Reconstruction. 1-4 - Badhan Mazumder, Deepan Krishna Tripathy, Keith Owen Yeates, Miriam H. Beauchamp, William Craig, Quynh Doan
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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