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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 27
Volume 27, Number 1, January 2023
- Marios S. Pattichis
, Scott T. Acton, Constantinos S. Pattichis, Andreas S. Panayides:
Guest Editorial Large-Scale Medical Image and Video Analytics for Clinical Decision Support. 4-6 - Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo:
A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. 7-16 - Mingxing Xu, Junxiang Chen, Jin Li, Xinxin Zhi, Wenrui Dai, Jiayuan Sun, Hongkai Xiong:
Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos. 29-40 - Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification. 41-52 - Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe:
A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis. 53-64 - Goutam Chakraborty, Weilun Wang, Basabi Chakraborty, Shao-Kuo Tai, Yi-Shun Lo:
Grading of HCC Biopsy Images Using Nucleus and Texture Features. 65-74 - Yuzhou Zhuang, Hong Liu, Enmin Song, Chih-Cheng Hung:
A 3D Cross-Modality Feature Interaction Network With Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation. 75-86 - Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li:
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. 87-96 - Jiangbo Shi, Tieliang Gong, Chunbao Wang, Chen Li:
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image. 97-108 - Yu Fu, Peng Xue, Taohui Xiao, Zhili Zhang, Youren Zhang, Enqing Dong:
Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. 109-120 - Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski:
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. 121-130 - Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai:
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification. 131-142 - M. Emre Celebi, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu:
Guest Editorial Skin Image Analysis in the Age of Deep Learning. 143-144 - Weiwei Cao, Gang Yuan, Qi Liu, Chengtao Peng, Jing Xie, Xiaodong Yang, Xinye Ni, Jian Zheng:
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation. 145-156 - Xuan Li, Christian Desrosiers, Xue (Steve) Liu:
Deep Neural Forest for Out-of-Distribution Detection of Skin Lesion Images. 157-165 - Soo Ick Cho, Dongheon Lee, Byeol Han, Ji Su Lee, Ji Yeon Hong, Jin Ho Chung, Dong Hun Lee, Jung-Im Na:
Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning. 166-175 - Kyungsu Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Hah Min Lew, Dae Hun Suh, Dong Hun Lee, Jae Youn Hwang:
Multi-Task and Few-Shot Learning-Based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases. 176-187 - Muhammad Tanveer, Chin-Teng Lin, Amit Kumar Singh:
Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging - Part II. 188-189 - Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez:
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach. 190-201 - Alireza Amirshahi, Anthony Hitchcock Thomas, Amir Aminifar, Tajana Rosing, David Atienza:
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. 202-214 - Ying Xing, Peter V. Kochunov, Theo G. M. van Erp, Tianzhou Ma, Vince D. Calhoun, Yuhui Du:
A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. 215-226 - Roshan P. Mathews, Mahesh Raveendranatha Panicker, Abhilash Rakkunedeth Hareendranathan, Yale Tung Chen, Jacob L. Jaremko, Brian Buchanan, Kiran Vishnu Narayan, Chandrasekharan Kesavadas, Greeta Mathews:
Unsupervised Multi-Latent Space RL Framework for Video Summarization in Ultrasound Imaging. 227-238 - Heming Yao, Harm Derksen, Jessica R. Golbus, Justin Zhang, Keith D. Aaronson, Jonathan Gryak, Kayvan Najarian:
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. 239-250 - Tong Tong, Dongyang Li, Jionghui Gu, Guo Chen, Guotao Bai, Xin Yang, Kun Wang, Tian'an Jiang, Jie Tian:
Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. 251-262 - Marialuisa Gandolfi, Ilaria Boscolo Galazzo, Rudy Gasparin Pavan, Federica Cruciani, Nicola Valè, Alessandro Picelli, Silvia Francesca Storti, Nicola Smania, Gloria Menegaz:
eXplainable AI Allows Predicting Upper Limb Rehabilitation Outcomes in Sub-Acute Stroke Patients. 263-273 - Arash Shokouhmand, Haoran Wen, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Farrokh Ayazi, Negar Tavassolian:
Diagnosis of Peripheral Artery Disease Using Backflow Abnormalities in Proximal Recordings of Accelerometer Contact Microphone (ACM). 274-285 - Yang Xu, Yang Yu, Miaojuan Xia, Xinjun Sheng, Xiangyang Zhu:
A Novel and Efficient Surface Electromyography Decomposition Algorithm Using Local Spatial Information. 286-295 - Yunyuan Gao, Yici Liu, Qingshan She, Jianhai Zhang:
Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces. 296-307 - Lukui Shi, Yixuan Zhang, Jingye Zhang:
Lung Sound Recognition Method Based on Wavelet Feature Enhancement and Time-Frequency Synchronous Modeling. 308-318 - Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. 319-328 - Ke Xu, Jiangtao Wang, Le Zhang, Hongyuan Zhu, Dingchang Zheng:
Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition. 329-338 - Chenyu Tang, Xuhang Chen, Jing Gong, Luigi G. Occhipinti, Shuo Gao:
WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition. 339-350 - Haniye Shayeste, Babak Mohammadzadeh Asl:
Heterogeneous Recurrence Analysis of Imaged-EEG for Spatio-Temporal Epileptic Seizure Detection. 351-362 - Zekun Tian, Dahua Li, Yi Yang, Fazheng Hou, Zhiyi Yang, Yu Song, Qiang Gao:
A Novel Domain Adversarial Networks Based on 3D-LSTM and Local Domain Discriminator for Hearing-Impaired Emotion Recognition. 363-373 - Jun Li, Tao Chen, Xiaohua Qian:
Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation. 374-385 - Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu:
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. 386-396 - Joonho Chang, Inchul Choi, Minho Lee:
PESA R-CNN: Perihematomal Edema Guided Scale Adaptive R-CNN for Hemorrhage Segmentation. 397-408 - Weiwei Zhang, Zhen Zhou, Zhifan Gao, Guang Yang, Lei Xu, Weiwen Wu, Heye Zhang:
Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT. 409-420 - Lan Shi, Marianthie Wank, Yan Chen, Yibo Wang, Yachuan Liu, Emily C. Hector, Peter X. K. Song:
Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks. 421-432 - Shuo Zhang, Yang Miao, Jun Chen, Xiwei Zhang, Lei Han, Zehao Huang, Ning Pei, Haibin Liu, Changming An:
CCS-Net: Cascade Detection Network With the Convolution Kernel Switch Block and Statistics Optimal Anchors Block in Hypopharyngeal Cancer MRI. 433-444 - Ziyu Li, Zhiyuan Zhu, Qing Li, Xia Wu:
Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method. 445-456 - Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca-Martinez, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso:
Aligning Small Datasets Using Domain Adversarial Learning: Applications in Automated in Vivo Oral Cancer Diagnosis. 457-468 - Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen:
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. 469-479 - Yikun Zhang, Dianlin Hu, Shilei Hao, Jin Liu, Guotao Quan, Yi Zhang, Xu Ji, Yang Chen:
DREAM-Net: Deep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction. 480-491 - Zhichao Liang, Zixiang Luo, Keyin Liu, Jingwei Qiu, Quanying Liu:
Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy. 492-503 - Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang:
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records. 504-514 - Patricio Colmegna, Alessandro Bisio, Ryan McFadden, Christian Wakeman, Mary Clancy Oliveri, Ralf Nass, Marc D. Breton:
Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. 515-525 - Ji A. Park, Tae H. Kim, Jihoon Kim, Yu Rang Park:
WICOX: Weight-Based Integrated Cox Model for Time-to-Event Data in Distributed Databases Without Data-Sharing. 526-537 - Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine:
Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. 538-549 - Zheng Peng, Gabriele Varisco, Xi Long, Rong-Hao Liang, Deedee Kommers, Ward Cottaar, Peter Andriessen, Carola van Pul:
A Continuous Late-Onset Sepsis Prediction Algorithm for Preterm Infants Using Multi-Channel Physiological Signals From a Patient Monitor. 550-561 - Xiao-Rui Su, Pengwei Hu, Hai-Cheng Yi, Zhuhong You, Lun Hu:
Predicting Drug-Target Interactions Over Heterogeneous Information Network. 562-572 - Yue-Chao Li, Zhu-Hong You, Changqing Yu, Lei Wang, Leon Wong, Lun Hu, Pengwei Hu, Yu-An Huang:
PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions. 573-582 - Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu:
Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. 17-28
Volume 27, Number 2, February 2023
- Arun Kumar Sangaiah, Xizhao Wang, Yi-Bing Lin, Jianwei Niu, Xiaohui Yuan:
Guest Editorial Cognitive Cyber-Physical Systems With AI Based Solutions in Medical Informatics. 586-587 - Xinhua Yu, Junxin Chen, Bo Fang, Wei Wang, Li-bo Zhang, Zhihan Lv:
Cardiac LGE MRI Segmentation With Cross-Modality Image Augmentation and Improved U-Net. 588-597 - Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. 598-607 - Hsiu-Sen Chiang, Mu-Yen Chen, Li-Shih Liao:
Cognitive Depression Detection Cyber-Medical System Based on EEG Analysis and Deep Learning Approaches. 608-616 - Mikail Mohammed Salim, Jong Hyuk Park:
Federated Learning-Based Secure Electronic Health Record Sharing Scheme in Medical Informatics. 617-624 - Hongbo Zhu, Guangjie Han, Jianxia Hou, Xiangliang Liu, Yue Ma:
Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems. 625-635 - Chao Yang, Xuyu Wang, Shiwen Mao:
TARF: Technology-Agnostic RF Sensing for Human Activity Recognition. 636-647 - Thippa Reddy Gadekallu, Mamoun Alazab, D. Jude Hemanth, Weizheng Wang:
Guest Editorial Federated Learning for Privacy Preservation of Healthcare Data in Internet of Medical Things and Patient Monitoring. 648-651 - Zhiang Xu, Yijia Guo, Chinmay Chakraborty, Qiaozhi Hua, Shengbo Chen, Keping Yu:
A Simple Federated Learning-Based Scheme for Security Enhancement Over Internet of Medical Things. 652-663 - Abdullah Lakhan, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Prayag Tiwari, Ankit Vidyarthi, Ahmed Alkhayyat, Weiyu Wang:
Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare. 664-672 - Abdullah Lakhan, Mazin Abed Mohammed, Ahmed Noori Rashid, Seifedine Nimer Kadry, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Imran Razzak:
Restricted Boltzmann Machine Assisted Secure Serverless Edge System for Internet of Medical Things. 673-683 - Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. 684-690 - Junaid Ahmed, Tu N. Nguyen, Bakhtiar Ali, Muhammad Awais Javed, Jawad Mirza:
On the Physical Layer Security of Federated Learning Based IoMT Networks. 691-697 - Guangquan Xu, Chen Qi, Wenyu Dong, Lixiao Gong, Shaoying Liu, Si Chen, Jian Liu, Xi Zheng:
A Privacy-Preserving Medical Data Sharing Scheme Based on Blockchain. 698-709 - Sandi Rahmadika, Philip Virgil Astillo, Gaurav Choudhary, Daniel Gerbi Duguma, Vishal Sharma, Ilsun You:
Blockchain-Based Privacy Preservation Scheme for Misbehavior Detection in Lightweight IoMT Devices. 710-721 - Parminder Singh, Gurjot Singh Gaba, Avinash Kaur, Mustapha Hedabou, Andrei V. Gurtov:
Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT. 722-731 - Na Wang, Shancheng Zhang, Zheng Zhang, Junsong Fu, Jianwei Liu, Ruijin Wang:
Block-Based Privacy-Preserving Healthcare Data Ranked Retrieval in Encrypted Cloud File Systems. 732-743 - Siddartha Rachakonda, Shiva Moorthy, Anshul Jain, Aleksandr Bukharev, Anca Bucur, Francesca Manni, Thaise M. Quiterio, Lex Joosten, Nancy Irisarri Mendez:
Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments. 744-755 - Zhaohua Li, Le Wang, Guangyao Chen, Zhiqiang Zhang, Muhammad Shafiq, Zhaoquan Gu:
E2EGI: End-to-End Gradient Inversion in Federated Learning. 756-767 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. 768-777 - Mansoor Ali, Faisal Naeem, Muhammad Tariq, Georges Kaddoum:
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey. 778-789 - Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto:
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. 790-803 - Baoru Han, Rutvij H. Jhaveri, Han Wang, Dawei Qiao, Jinglong Du:
Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data. 804-813 - Zhiri Tang, Zhao-Hui Sun, Edmond Qi Wu, Chuan-Feng Wei, Dong Ming, Sheng-Di Chen:
MRCG: A MRI Retrieval Framework With Convolutional and Graph Neural Networks for Secure and Private IoMT. 814-822 - Omaji Samuel, Akogwu Blessing Omojo, Abdulkarim Musa Onuja, Yunisa Sunday, Prayag Tiwari, Deepak Gupta, Ghulam Hafeez, Adamu Sani Yahaya, Oluwaseun Jumoke Fatoba, Shahab Shamshirband:
IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain. 823-834 - Md. Nazmul Hossen, Vijayakumari Panneerselvam, Deepika Koundal, Kawsar Ahmed, Francis M. Bui, Sobhy M. Ibrahim:
Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security. 835-841 - Tianyi Han, Xiaoli Gong, Fan Feng, Jin Zhang, Zhe Sun, Yu Zhang:
Privacy-Preserving Multi-Source Domain Adaptation for Medical Data. 842-853 - Ruijin Wang, Jinshan Lai, Zhiyang Zhang, Xiong Li, Pandi Vijayakumar, Marimuthu Karuppiah:
Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing. 854-865 - Le Sun, Jin Wu:
A Scalable and Transferable Federated Learning System for Classifying Healthcare Sensor Data. 866-877 - Amneh Alamleh, Osamah Shihab Albahri, A. A. Zaidan, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, B. B. Zaidan, Sarah Qahtan, H. A. Alsatar, Mohammed S. Al-Samarraay, Ali Najm Jasim:
Federated Learning for IoMT Applications: A Standardization and Benchmarking Framework of Intrusion Detection Systems. 878-887 - Rukhsana Ruby, Hailiang Yang, Kaishun Wu:
Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach. 888-899 - Yao Wang, Yufei Shi, Yinlin Cheng, Zhipeng He, Xiaoyan Wei, Ziyi Chen, Yi Zhou:
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction. 900-911 - M. Sami Zitouni, Cheul Young Park, Uichin Lee, Leontios J. Hadjileontiadis, Ahsan Khandoker:
LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations. 912-923 - Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar:
SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. 924-932 - Thomas Strypsteen, Alexander Bertrand:
Bandwidth-Efficient Distributed Neural Network Architectures With Application to Neuro-Sensor Networks. 933-943 - Xianbin Zhang, Mingzhe Jiang, Kemal Polat, Adi Alhudhaif, D. Jude Hemanth, Wanqing Wu:
Detection of Atrial Fibrillation From Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy. 944-955 - Yassin Khalifa, Cara Donohue, James L. Coyle, Ervin Sejdic:
Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. 956-967 - Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer. 968-979 - Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. 980-991 - Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang:
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. 992-1003 - Qing Wu, Yuwei Li, Yawen Sun, Yan Zhou, Hongjiang Wei, Jingyi Yu, Yuyao Zhang:
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation. 1004-1015 - Dilbag Singh, Manjit Kaur, Jazem Mutared Alanazi, Ahmad Ali AlZubi, Heung-No Lee:
Efficient Evolving Deep Ensemble Medical Image Captioning Network. 1016-1025 - Yuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, Akihito Usui, Kei Ichiji, Masato Funayama, Noriyasu Homma:
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography. 1026-1035 - Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz Demir:
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. 1036-1047 - Meng Wang, Huiyan Jiang, Tianyu Shi, Yu-Dong Yao:
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation. 1048-1059 - Xuenan Liu, Xuezhi Yang, Rencheng Song, Dingliang Wang, Longwei Li:
PFDNet: A Pulse Feature Disentanglement Network for Atrial Fibrillation Screening From Facial Videos. 1060-1071 - Shengjie Zhang, Bohan Ren, Ziqi Yu, Haibo Yang, Xiaoyang Han, Xiang Chen, Yuan Zhou, Dinggang Shen, Xiao-Yong Zhang:
TW-Net: Transformer Weighted Network for Neonatal Brain MRI Segmentation. 1072-1083 - Miao Qi, Amar K. Das, Kristin P. Bennett:
Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. 1084-1095 - Jiarun Cao, Elke M. van Veen, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge. 1096-1105 - Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy