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Network Modeling Analysis in Health Informatics and Bioinformatics, Volume 13
Volume 13, Number 1, December 2024
- Upasana Chutia, Anand Shanker Tewari
, Jyoti Prakash Singh
Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques. 1 - Rashmita Kumari Mohapatra
A comprehensive survey to study the utilities of image segmentation methods in clinical routine. 2 - Gendry Alfonso Francia
Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification. 3 - Sudipta Roy, Debojyoti Pal
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead. 4 - Fei Yu
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review. 5 - Claudia Cava, Soudabeh Sabetian, Christian Salvatore, Isabella Castiglioni:
Pan-cancer classification of multi-omics data based on machine learning models. 6 - Gurpreet Singh, Dharmendra Kumar Khatri
MicroRNA-gene regulatory network of TLR signaling in neuroinflammation-induced Parkinson's disease: a bioinformatics approach. 7 - Mohamed Emam
Comparative evaluation of multiomics integration tools for the study of prediabetes: insights into the earliest stages of type 2 diabetes mellitus. 8 - Arsineh Boodaghian Asl
A hybrid modeling approach to simulate complex systems and classify behaviors. 9 - Kalyani Karunakaran
Drug contraindications in comorbid diseases: a protein interactome perspective. 10 - Sudip Ghosh, Deepti, Shivam Gupta
B rainMN et: a unified neural network architecture for brain image classification. 11 - R. Nithya, T. Kokilavani
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE. 12 - Wenhao Song
CT and MRI image fusion via multimodal feature interaction network. 13 - Sunil Dalal
Identification of COVID-19 with CT scans using radiomics and DL-based features. 14 - Guilherme F. Martins, Thiago S. Castro
Drug repurposing for the treatment of patients infected with SARS-CoV-2. 15 - Prokash Gogoi, J. Arul Valan:
Privacy-preserving predictive modeling for early detection of chronic kidney disease. 16 - Mohammed A. Almogaddam
Computational screening identifies depsidones as promising Aurora A kinase inhibitors: extra precision docking and molecular dynamics studies. 17 - M. Jeya Sundari
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application. 18 - Mike C. Chang
Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty. 19 - Monire Norouzi
A machine learning-based early diagnosis model for chronic kidney disease using SPegasos. 20 - Nadiya Straton:
Computational model of engagement with stigmatised sentiment: COVID and general vaccine discourse on social media. 21 - Richard Oliver Matzko, Savas Konur:
Technologies for design-build-test-learn automation and computational modelling across the synthetic biology workflow: a review. 22 - Emmanouil D. Oikonomou
How natural language processing derived techniques are used on biological data: a systematic review. 23 - Pradeepa Sampath, N. Sasikaladevi, S. Vimal
OralNet: deep learning fusion for oral cancer identification from lips and tongue images using stochastic gradient based logistic regression. 24 - Rajashree Chaurasia
XDeMo: a novel deep learning framework for DNA motif mining using transformer models. 25 - Ibrahim Abed Al-Ghafer
NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. 26 - Aarif Ali
Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants. 27 - Himanshu Jain
Mathematical model of mixed invasive ductal and lobular breast cancer. 28 - Trilochan Rout, Anjali Mohapatra, Madhabananda Kar:
A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices. 29 - Sohaib Asif
A deep ensemble learning framework for COVID-19 detection in chest X-ray images. 30 - Fadia Falah Hassan, Mohammed Hussein Mushrif, Ahmed AbdulJabbar Suleiman
Investigating novel antifungal strategies through molecular docking & dynamics simulations of oxidative stress response in Candida albicans. 31 - Dalal Bardou
GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images. 32 - Suprativ Saha
A rule-based protein classification approach using normalized distance-based encoding method. 33 - Jianhao Sun, Xiangqin Zeng, Xiang Lei, Mingliang Gao, Qilei Li, Housheng Zhang, Fengli Ba:
Medical image super-resolution via transformer-based hierarchical encoder-decoder network. 34 - Haiyan Chen, Rongji Li, Xinqi Ma, Zhidong Qiu, Ye Qiu:
Network pharmacology and experimental validation to explore the anti-aging mechanism of action of betulinic acid. 35 - Suparna Saha, Soumita Seth, Soumadip Ghosh, Guimin Qin, Tapas Bhadra, Soumen Kumar Pati, Somenath Chakraborty
DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis. 36 - Carey Yu-Fan Ling
Exploration of COVID-19 data in Malaysia through mapper graph. 37 - Kashfia Sailunaz, Deniz Bestepe, Lama Alhajj, Tansel Özyer, Jon G. Rokne, Reda Alhajj:
A survey of artificial intelligence/machine learning-based trends for prostate cancer analysis. 38 - Chitra Devi Muthusamy, Ramaswami Murugesh:
Integrated deep learning approach for automatic coronary artery segmentation and classification on computed tomographic coronary angiography. 39 - Rahele Mozafari, Fereshteh Shiri, Pouya Karimi, Maryam Salahinejad, Massoud Nejati-Yazdinejad:
Identification of new positron emission tomography (PET) imaging agents for the ghrelin receptor in disease through molecular modeling. 40 - Mridul Biswas, Ritodeep Sikdar
A CNN model with pseudo dense layers: some case studies on medical image classification. 41 - Trilochan Rout, Anjali Mohapatra, Madhabananda Kar, Dillip Kumar Muduly:
Essential proteins in cancer networks: a graph-based perspective using Dijkstra's algorithm. 42 - Mojeed Opeyemi Oyedeji
Clinical and dermoscopy image-based deep learning models for skin lesion diagnosis in clinical practice. 43 - Keanelek Enns, Kazi Tabassum Ferdous, Sowmya Balasubramanian, Smita Ghosh
Are brain networks classifiable? 44 - Abdolrahman Peimankar
xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification. 45 - Md. Anayt Rabbi, Md. Manowarul Islam
Investigating key genes and biological pathways for therapeutic drug compound identification and survival analysis of chronic lymphocytic leukemia and hepatitis B associated hepatocellular carcinoma using system biology approach. 46 - Oona Rainio
One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients. 47 - Anushka Naik, Ishan Patwardhan, Amit Joshi:
CGDGMDA-Net: discovering microbe-disease and drug associations through CTGAN and graph-based deep learning. 48 - Andrea Alejandra García-Valdez, Israel Román-Godínez, Ricardo A. Salido-Ruiz, Sulema Torres-Ramos
Identifying PTSD sex-based patterns through explainable artificial intelligence in biometric data. 49 - Rim Negra
Investigating the impact of body node coordinator position on communication reliability in wireless body area networks. 50 - Alhassan Usman Bello, Sarahani Harun, Nor Afiqah-Aleng, Rajalingham Sakthiswary, Zeti-Azura Mohamed-Hussein
Identification of shared proteins between ankylosing spondylitis and its comorbidities through network biology. 51 - Oumeima Thaalbi
Deep learning for breast cancer diagnosis from histopathological images: classification and gene expression: review. 52 - Tianci Zhang, Zihao Qi, Shikai Qiao, Jujuan Zhuang:
GSASVM-RBPs: Predicting miRNA-binding protein sites with aggregated multigraph neural networks and an SVM. 53 - Md Anisur Rahman
Mapping the patient journey: utilizing clinical informatics for a conceptual approach to identify aspects of emergency department access block. 54 - Rupert Ironside-Smith
Motif discovery in hospital ward vital signs observation networks. 55 - Samridhi Singh
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges. 56 - Tarushi Jat, Nagamma Patil, Prajna Bhat
Detection of heart arrhythmia with electrocardiography. 57 - Parisutham Nirmala, Blesson Deep, G. Aswin:
TCPP-2PPIN: trustworthy centrality prediction paradigm for analyzing two protein-protein interaction networks using centrality measures and graph theory concepts. 58
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