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BHI 2021: Athens, Greece
- IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2021, Athens, Greece, July 27-30, 2021. IEEE 2021, ISBN 978-1-6654-0358-0
- Mattia Prosperi, Simone Marini:
KARGA: Multi-platform Toolkit for k-mer-based Antibiotic Resistance Gene Analysis of High-throughput Sequencing Data. 1-4 - Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. 1-4 - Qi Zhang, Terry M. Peters:
Cardiac Image Dynamic Visualization and Enhancement for Palpitation Collaborative Diagnosis Using Internet Synchronization. 1-4 - Drew Grant, Ian McLane, James E. West:
Rapid and Scalable COVID-19 Screening using Speech, Breath, and Cough Recordings. 1-6 - Ruchi Holker, Seba Susan:
Quantitative EEG Feature Selection by MajorityVoting for Alcohol Use Disorder Detection. 1-4 - Vasileios C. Pezoulas, Antonis I. Sakellarios, Marcus E. Kleber, Jos A. Bosch, Sander W. Van der Laan, Femke Lamers, Terho Lehtimäki, Winfried März, Dimitrios I. Fotiadis:
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. 1-4 - M. L. Tlachac, Katherine Dixon-Gordon, Elke A. Rundensteiner:
Screening for Suicidal Ideation with Text Messages. 1-4 - Heba Elshatoury, Federica Cruciani, Francesco Zumerle, Silvia Francesca Storti, André Altmann, Marco Lorenzi, Gholamreza Anbarjafari, Gloria Menegaz, Ilaria Boscolo Galazzo:
Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment. 1-4 - S. M. Shamimul Hasan, Minsu Kim, Byung H. Park, Makoto M. Jones, Merry Ward, Jonathan R. Nebeker:
A Knowledge Network-Based Approach to Facilitate Annotation of Clinical Pathway Component Clusters. 1-4 - Mohamed Abul Hassan, Xuwang Yin, Yan Zhuang, Chad M. Aldridge, Timothy McMurry, Andrew M. Southerland, Gustavo K. Rohde:
A Pilot Study on Video-based Eye Movement Assessment of the NeuroEye Examination. 1-4 - Anish Karpurapu, Adam Krekorian, Ye Tian, Leslie M. Collins, Ravi Karra, Aaron D. Franklin, Boyla O. Mainsah:
Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions. 1-4 - Cigdem Polat Dautov, Ruslan Dautov, Jean-Philippe Couderc, Gill R. Tsouri:
Machine Learning Approach to Detection of Atrial Fibrillation Using High Quality Facial Videos. 1-4 - Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang:
Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. 1-4 - Ximing Lu, Sachin Mehta, Tad T. Brunyé, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro:
Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images. 1-4 - Shahidan Idris, Nasreen Badruddin:
Classification of Cognitive Frailty in Elderly People from Blood Samples using Machine Learning. 1-4 - Christos Garoufis, Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Niki Efthymiou, Emmanouil Kalisperakis, Vasiliki Garyfalli, Thomas Karantinos, L. Mantonakis, Nikolaos Smyrnis, Petros Maragos:
An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis. 1-5 - Khang Nguyen, Jerome Wei Yang Lim, Kuo Ping Lee, Terry Lin, Jing Tian, Trang T. T. Do, Matthew Chin Heng Chua, Binh P. Nguyen:
Heart Disease Classification using Novel Heterogeneous Ensemble. 1-4 - Can F. Usanmaz, Matthew E. White, Marcus Valancius, May D. Wang:
An Expansion for Automated Cardiac Anomaly Detection Frameworks with Multimodal Missing Data Imputation. 1-5 - Emmanouil K. Ikonomakis, Marilena M. Bourdakou, George Kolios, Michael N. Vrahatis, George M. Spyrou:
Computational insights on the molecular mechanisms across breast cancer progression combining gene differential expression and co-expression. 1-5 - Mark Mirtchouk, Samantha Kleinberg:
Detecting Granular Eating Behaviors From Body-worn Audio and Motion Sensors. 1-4 - Joana Rocha, Sofia Cardoso Pereira, Aurélio Campilho, Ana Maria Mendonça:
Segmentation of COVID-19 Lesions in CT Images. 1-4 - Yanan Niu, Max L. Olender, David Marlevi, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning. 1-4 - Yunxin Zhao, Minguang Song, Yanghao Yue, Mili Kuruvilla-Dugdale:
Personalizing TTS Voices for Progressive Dysarthria. 1-4 - Itsuki Shirakami, Takashi Sato:
Heart Rate Variability Extraction using Commodity Wi-Fi Devices via Time Domain Signal Processing. 1-4 - Christian O'Reilly, Mayada Elsabbagh:
Computing Realistic Surrogate EEG for the Study of Functional Connectivity. 1-4 - Yu Shu, Wei Dan, Changqing Cheng:
Spatiotemporal Regularization in Effective Reconstruction of Epicardial Potential. 1-4 - Erin Teeple, Yi-Chien Chang, Deepak K. Rajpal:
A Target-Specific Evidence Function for Indication Expansion Queries in the Open Targets Platform. 1-4 - Minh Duc Le, Vidhiwar Singh Rathour, Quang Sang Truong, Quan Mai, Brijesh Patel, Ngan Le:
Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification. 1-5 - Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. 1-5 - Robert Richer, Arne Küderle, Jana Dörr, Nicolas Rohleder, Bjoern M. Eskofier:
Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement. 1-4 - Muhammad Zubair Khan, Yugyung Lee:
Localization of Ocular Vessels with Context Sensitive Semantic Segmentation. 1-5 - Khai-My Vong, Tien Ba Dinh:
Pneumothorax Segmentation In Chest X-Rays Using UNet++ And EfficientNet. 1-4 - Ali Mirzazadeh, Arshawn Mohseni, Sahar Ibrahim, Felipe O. Giuste, Yuanda Zhu, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks. 1-4 - Mena S. A. Kamel, Michael D. Naish:
Mask-Grasp R-CNN: Simultaneous Instance Segmentation and Robotic Grasp Detection. 1-6 - Asim Hossain Gazi, Srirakshaa Sundararaj, Anna B. Harrison, Nil Z. Gurel, Matthew T. Wittbrodt, Amit J. Shah, Viola Vaccarino, J. Douglas Bremner, Omer T. Inan:
Transcutaneous Cervical Vagus Nerve Stimulation Lengthens Exhalation in the Context of Traumatic Stress. 1-4 - Jia-Da Li, Yi-Kuan Liu, Tsung-Hung Hsieh, Cheng-Chung Fang, Chu-Song Chen:
Applying Problem Transformation Methods for Predicting 3-Days All-Cause Readmission in the Emergency Department. 1-4 - Yousra Zafar, Ali Javed, Khalid Mahmood Malik, Jeremy Santamaria, Ghaus M. Malik:
A Diagnostic System for Intracranial Saccular and Fusiform Aneurysms with Location Detection. 1-4 - Zhale Nowroozilarki, Arash Pakbin, James Royalty, Donald K. K. Lee, Bobak J. Mortazavi:
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards. 1-4 - Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery. 1-4 - Linda Greta Dui, Enrica Calogero, Milad Malavolti, Cristiano Termine, Matteo Matteucci, Simona Ferrante:
Digital Tools for Handwriting Proficiency Evaluation in Children. 1-4 - Jeroen Van Houtte, Xiaoru Gao, Jan Sijbers, Guoyan Zheng:
2D/3D Registration with a Statistical Deformation Model Prior Using Deep Learning. 1-4 - Ivan Makohon, Yaohang Li:
Multi-Label Classification of ICD-10 Coding & Clinical Notes Using MIMIC & CodiEsp. 1-4 - Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown:
HistoTransfer: Understanding Transfer Learning for Histopathology. 1-4 - Sophie Carneiro Esteves, Antoine Vacavant, Odyssée Merveille:
Learning a reconnecting regularization term for blood vessel variational segmentation. 1-4 - David O. Nahmias, Christopher G. Scully:
Simulating Study Design Choice Effects on Observed Performance of Predictive Patient Monitoring Alarm Algorithms. 1-4 - Behnaz Jarrahi:
A Preliminary Assessment of the Impact of Scan Length on ICA Dimensionality & Network Features. 1-5 - Chiara Roversi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo:
A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. 1-4 - Bharath Narayanan, Max L. Olender, Farhad Rikhtegar Nezami, Elazer R. Edelman, David Marlevi:
In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels. 1-4 - Igor D. S. Miranda, Gildeberto Cardoso, Madhurananda Pahar, Gabriel Oliveira, Thomas Niesler:
Machine Learning Prediction of Hospitalization due to COVID-19 based on Self-Reported Symptoms: A Study for Brazil. 1-5 - Zepeng Huo, Lida Zhang, Rohan Khera, Shuai Huang, Xiaoning Qian, Zhangyang Wang, Bobak J. Mortazavi:
Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. 1-4 - Alessandro Mengarelli, Andrea Tigrini, Sandro Fioretti, Federica Verdini:
Recurrence Quantification Analysis of Gait Rhythm in Patients Affected by Parkinson's Disease. 1-4 - Esteban Vaca, Adriyana Danudibroto:
Pediatric Bone Age Assessment based on Detection of Ossification Regions. 1-5 - Neeraj, Vatsal Singhal, Jimson Mathew:
A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection. 1-4 - Xiaoru Gao, Jeroen Van Houtte, Zihao Chen, Guoyan Zheng:
DeepASDM: a Deep Learning Framework for Affine and Deformable Image Registration Incorporating a Statistical Deformation Model. 1-4 - Dominik Spychalski, Olaf Rode, Markus Ritthaler, Georgios Raptis:
Conceptual Design and Analysis of a Mobile Digital Identity for eHealth Applications. 1-4 - Tamás Karácsony, Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, João Paulo Silva Cunha:
DeepEpil: Towards an Epileptologist-Friendly AI Enabled Seizure Classification Cloud System based on Deep Learning Analysis of 3D videos. 1-5 - Sergi Garcia-Retortillo, Rossella Rizzo, Plamen Ch. Ivanov:
Spectral dynamics of muscle fiber activation in response to exercise and acute fatigue. 1-4 - Lishan Cai, Regina Beets-Tan, Sean Benson:
An improved automatic system for aiding the detection of colon polyps using deep learning. 1-4 - Lida Zhang, Xiaohan Chen, Tianlong Chen, Zhangyang Wang, Bobak J. Mortazavi:
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records. 1-4 - Marc-Adrien Hostin, Augustin C. Ogier, Nicolas Pirró, Marc-Emmanuel Bellemare:
Combining loss functions for deep learning bladder segmentation on dynamic MRI. 1-4 - Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Sarforaz Bin Bashar, Abhilash Goud, Jay Chhablani, Soumya Jana:
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine. 1-4 - Mohamed Almansour, Nagia M. Ghanem, Soheir Bassiouny:
High-Resolution MRI Brain Inpainting. 1-6 - Daniel Jiménez Sánchez, Mikel Ariz, Carlos Ortiz-de-Solórzano:
Synplex: a synthetic simulator of highly multiplexed histological images. 1-4 - Moi Hoon Yap, Bill Cassidy, Joseph M. Pappachan, Claire O'Shea, David Gillespie, Neil D. Reeves:
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. 1-4 - Orpaz Goldstein, Mohammad Kachuee, Majid Sarrafzadeh:
Decentralized Knowledge Transfer on Edge Networks for Detecting Cancer in Images. 1-5 - Xiaohong Fan, Yin Yang, Jianping Zhang:
Deep Geometric Distillation Network for Compressive Sensing MRI. 1-4 - Juhyeon Lee, Hee-Tae Jung, Sunghoon Ivan Lee:
Estimating the Quality of Reaching Movements in Stroke Survivors. 1-4 - Anita Manassakorn, Kitiwat Khamwan, Dhammathat Owasirikul, Rath Itthipanichpong, Vera Sa-Ing, Supatana Auethavekiat:
Retinal Nerve Fiber Layer Defect Detection using Machine Learning on Optic Disc Photograph. 1-4 - Nathan C. Hurley, Alyssa Berkowitz, Frederick Masoudi, Joseph S. Ross, Nihar Desai, Nilay Shah, Sanket S. Dhruva, Bobak J. Mortazavi:
Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts. 1-4 - Sindhura Thirumal, Amoon Jamzad, Tiziana Cotechini, Charles T. Hindmarch, Céline Hardy, Nathalia Kim, Amber Simpson, Charles H. Graham, David M. Berman, D. Robert Siemens, Parvin Mousavi:
Utility of High-Throughput Imaging Mass Cytometry for Cancer Research: A feasibility study. 1-4 - Aakash Bhatt, Thomas Truong, Svetlana N. Yanushkevich, Mohammed Almekhlafi:
Body Pose Analysis using CNN and Pressure Sensor Array Data. 1-4 - Shane Transue, Kevin Macfarlane, Min-Hyung Choi:
Behavioral Analysis of Airway Deformation during Drug Induced Sleep Endoscopy. 1-4 - Xiaoyu Sun, Mudassir M. Rashid, Mohammad-Reza Askari, Nicole Hobbs, Rachel Brandt, Ali Cinar:
Event-Triggered Decision Support and Automatic Control Systems for Type 1 Diabetes. 1-4 - Wenqi Shi, Mitali S. Gupte, May D. Wang:
Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. 1-4 - Frederick G. Booth, Maurice D. Mulvenna, Raymond R. Bond, Kieran McGlade, Brian Cleland, Debbie Rankin, Jonathan G. Wallace, Michaela M. Black:
COVID-19 and lockdown: The highs and lows of general practitioner prescribing. 1-4 - Qian Zhao, Wenming Yang, Qingmin Liao:
AFA-RN: An Abnormal Feature Attention Relation Network for Multi-class Disease Classification in gastrointestinal endoscopic images. 1-4 - Ana Lomacenkova, Ognjen Arandjelovic:
Whole Slide Pathology Image Patch Based Deep Classification: An Investigation of the Effects of the Latent Autoencoder Representation and the Loss Function Form. 1-4 - Guanjin Wang, Stephen Wai Hang Kwok:
Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' Opinions on COVID-19 Vaccination. 1-4 - Eunjin Kim, Hwan-ho Cho, Eunsook Ko, Hyunjin Park:
Generative Adversarial Network with Local Discriminator for Synthesizing Breast Contrast-Enhanced MRI. 1-4 - Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti:
Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. 1-4 - Stamos Katsigiannis, Pablo Arnau-González, Miguel Arevalillo-Herráez, Naeem Ramzan:
Single-channel EEG-based subject identification using visual stimuli. 1-4 - M. L. Tlachac, Veronica Melican, Miranda Reisch, Elke A. Rundensteiner:
Mobile Depression Screening with Time Series of Text Logs and Call Logs. 1-4 - Sathish Ande, Srinivas Avasarala, Ajith Karunarathne, Lopamudra Giri, Soumya Jana:
Statistical Dependence between Neuronal Spike Train Pairs: Quantification based on Empirical Mutual Information Rate. 1-4 - Hasan Zafari, Farhana H. Zulkernine:
Chatsum: An Intelligent Medical Chat Summarization Tool. 1-2 - Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov:
Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. 1-4 - Maria Chatzimina, Helen Papadaki, Charalampos Pontikoglou, Lefteris Koumakis, Kostas Marias, Manolis Tsiknakis:
Designing a conversational agent for patients with hematologic malignancies: Usability and Usefulness Study. 1-4 - Ting-Yang Lu, Kai-Chun Liu, Chia-Yeh Hsieh, Chih-Ya Chang, Yu Tsao, Chia-Tai Chan:
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder. 1-4 - Asim Hossain Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang:
Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. 1-4 - Mohammad Tanveer, M. Tabish, Jatin Jangir:
Pinball Twin Bounded Support Vector Clustering. 1-4 - Zelalem Gero, Joyce C. Ho:
Uncertainty-based Self-training for Biomedical Keyphrase Extraction. 1-4 - Muhammad Zubair Khan, Yugyung Lee:
Screening Fundus Images to Extract Multiple Ocular Features: A Unified Modeling Approach. 1-5 - Mareike Stender, Jan Graßhoff, Tanya Braun, Ralf Möller, Philipp Rostalski:
A Hybrid Factor Graph Model for Biomedical Activity Detection. 1-4 - Ameya Valsangkar, Pradeep Kumar, Erik J. Scheme:
Automated Segmentation of a Timed Up and Go Test Using an Instrumented Cane. 1-5 - Tom Arjannikov, George Tzanetakis:
Cold-Start Hospital Length of Stay Prediction Using Positive-Unlabeled Learning. 1-4 - Haoyue Zhang, Jennifer Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, William Speier, Corey W. Arnold:
A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features. 1-4 - Grigoris I. Grigoriadis, Vasileios C. Pezoulas, Maria Roumpi, George Gkois, Nikolaos S. Tachos, Momcilo Prodanovic, Danica Prodanovic, Boban S. Stojanovic, Srboljub M. Mijailovich, Nenad Filipovic, Dimitrios I. Fotiadis:
Towards the development of a unified virtual population model in hypertrophic cardiomyopathy. 1-4 - Weam Moumouh-Ait Layachi, María Sevilla-García, Adrián García-Romero, Cristina Soguero-Ruíz, Inmaculada Mora-Jiménez:
On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients. 1-5 - Tina Khajeh, Derek Reiman, Ryan Morley, Yang Dai:
Integrating microbiome and metabolome data for host disease prediction via deep neural networks. 1-4 - Elisa Setti, Piergiuseppe Liuzzi, Silvia Campagnini, Chiara Fanciullacci, Chiara Arienti, Michele Patrini, Andrea Mannini, Maria Chiara Carrozza:
Predicting post COVID-19 rehabilitation duration with linear kernel SVR. 1-5 - Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton:
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. 1-4 - Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen:
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. 1-4 - Eunice E. Santos, John Korah, Suresh Subramanian, Vairavan Murugappan, Eugene Santos:
Infusing Culture in Compartmental Epidemic Models. 1-6 - Zihang You, Alec M. Steele, Mehrdad Nourani, Melinda M. Bopp, Dennis H. Sullivan:
Ambulation Assessment Using Depth Cameras. 1-4 - William Adorno, Laura S. Shankman, Donald E. Brown:
Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images. 1-4 - Xiao Luo, Sahil Kumar, Natalie Lambert:
Neural Topic Modeling to Understand Breast Cancer Peer-to-peer Online Information Seeking at Diagnosis. 1-4 - Muhammad Usman Akbar, Vittorio Murino, Diego Sona:
Multimodal Segmentation of Medical Images with Heavily Missing Data. 1-4 - Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. 1-4 - Armando Bellante, Letizia Bergamasco, Ana Bogdanovic, Noemi Gozzi, Lorenzo Gecchelin, Moaad Khamlich, Anisia Lauditi, Eleonora D'Arnese, Marco D. Santambrogio:
EMoCy: Towards Physiological Signals-Based Stress Detection. 1-4 - Rui Lebre, Carlos Costa:
A non-relational approach for distributed medical imaging databases. 1-6 - Edoardo Occhipinti, Khalid B. Mirza, Christofer Toumazou:
Personalised trainer recommendation based on physical activity and genetic profile. 1-4 - Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Laura E. Barnes, Kristen J. Wells, Jiaqi Gong:
Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. 1-4 - Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane. 1-4 - Ky Trung Nguyen, Jani Mäntyjärvi, Tran Thi Ngoc Nguyen:
Automatic Storytelling from Wearable Sensor Data for Health and Wellness Applications. 1-4 - Mohamed A. Bahloul, Abderrazak Chahid, Taous-Meriem Laleg-Kirati:
A Multilayer Perceptron-based Carotid-to-Femoral Pulse Wave Velocity Estimation using PPG Signal. 1-6 - Jamie Andrew Duell, Xiuyi Fan, Bruce Burnett, Gert Aarts, Shang-Ming Zhou:
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. 1-4 - Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung, Hubert P. H. Shum:
Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention. 1-4 - Ashery Mbilinyi, Heiko Schuldt:
Retrieving Chest X-rays for Differential Diagnosis: A Deep Metric Learning Approach. 1-4
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