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ORCIDNetwork 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, Lochan Jolly, Dalamchwami Chen Lyngdoh, Gajendra Kumar Mourya, Iffa Afsa Changaai Mangalote, Syed Intekhab Alam, Sarada Prasad Dakua:
A comprehensive survey to study the utilities of image segmentation methods in clinical routine. 2 - Gendry Alfonso Francia, Jesús Carlos Pedraza-Ortega, Manuel Toledano-Ayala, Marco Antonio Aceves-Fernández, Seok-Bum Ko, Saúl Tovar-Arriaga:
Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification. 3 - Sudipta Roy, Debojyoti Pal, Tanushree Meena:
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead. 4 - Fei Yu, Helal El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave:
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, Ahmed Tarek, Mohamed Soudy, Agostinho Antunes, Mohamed El-Hadidi, Mohamed Hamed:
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, Jayanth Raghothama, Adam S. Darwich, Sebastiaan A. Meijer:
A hybrid modeling approach to simulate complex systems and classify behaviors. 9 - Kalyani Karunakaran, Madhavi K. Ganapathiraju, Sanjeev Jain, Samir K. Brahmachari, N. Balakrishnan:
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, T. Lucia Agnes Beena:
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE. 12 - Wenhao Song, Xiangqin Zeng, Qilei Li, Mingliang Gao, Hui Zhou, Junzhi Shi:
CT and MRI image fusion via multimodal feature interaction network. 13 - Sunil Dalal, Jyoti Prakash Singh, Arvind Kumar Tiwari, Abhinav Kumar:
Identification of COVID-19 with CT scans using radiomics and DL-based features. 14 - Guilherme F. Martins, Thiago S. Castro, Daví A. C. Ferreira:
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, Tagyedeen H. Shoaib, Shaimaa G. A. Mohamed, Gamal A. Mohamed, Sabrin R. M. Ibrahim, Hazem G. A. Hussein, Iklas A. Sindi, Abdulrahim A. Alzain:
Computational screening identifies depsidones as promising Aurora A kinase inhibitors: extra precision docking and molecular dynamics studies. 17 - M. Jeya Sundari, N. C. Brintha:
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application. 18 - Mike C. Chang, Adel Alaeddini:
Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty. 19 - Monire Norouzi, Elif Altintas Kahriman:
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, Petros S. Karvelis, Nikolaos Giannakeas, Aristidis G. Vrahatis, Evripidis Glavas, Alexandros T. Tzallas:
How natural language processing derived techniques are used on biological data: a systematic review. 23 - Pradeepa Sampath, N. Sasikaladevi, S. Vimal, Kaliappan M.:
OralNet: deep learning fusion for oral cancer identification from lips and tongue images using stochastic gradient based logistic regression. 24 - Rajashree Chaurasia, Udayan Ghose:
XDeMo: a novel deep learning framework for DNA motif mining using transformer models. 25 - Ibrahim Abed Al-Ghafer, Noor AlAfeshat, Lujain Alshomali, Shaheen Alanee, Hazem Qattous, Mohammad Azzeh, Abedalrhman Alkhateeb:
NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. 26 - Aarif Ali, Bashir Ahmad Malla, Showkat Ahmad Ganie, Muneeb U. Rehman, Sheikh Bilal Ahmad:
Computational tools and databases at the forefront to study geographic and genomic distribution of SARS-CoV-2 variants. 27 - Himanshu Jain, Arvind Kumar Sinha:
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, Qurrat Ul Ain, Muhammad Awais, Kamran Amjad, Omair Bilal, Raeed Al-Sabri, Monir Abdullah:
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, Laishui Lv, Yasmine Medjadba, Ting Zhang, Ouahiba Chouhal, Mourad Bounezra, Karima Saidi, Youcef Bezza, Aissa Snani:
GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images. 32 - Suprativ Saha, Rupak Bhattacharyya, Tanmay Bhattacharya:
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, Saurav Mallik:
DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis. 36 - Carey Yu-Fan Ling, Piau Phang, Siaw-Hong Liew, Vivek Jason Jayaraj, Benchawan Wiwatanapataphee:
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, Ram Sarkar, Mahantapas Kundu:
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, Venkatesh Srinivasan, Alex Thomo:
Are brain networks classifiable? 44 - Abdolrahman Peimankar, Ali Ebrahimi, Uffe Kock Wiil:
xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification. 45 - Md. Anayt Rabbi, Md. Manowarul Islam, Arnisha Akhter, Ashraf Uddin:
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, Joonas Liedes, Sarita Murtojärvi, Simona Malaspina, Jukka Kemppainen, Riku Klén:
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, Imen Jemili, Akka Zemmari, Mohamed Mosbah, Abdelfattah Belghith:
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, Moulay A. Akhloufi:
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, Derek Z. Lim, Michael Davoren, Ian Lok, Saifur Rahman, Peter Hough, Thanaa Mosa, Syeda Begum:
Mapping the patient journey: utilizing clinical informatics for a conceptual approach to identify aspects of emergency department access block. 54 - Rupert Ironside-Smith, Beryl Noë, Stuart M. Allen, Shannon Costello, Liam D. Turner:
Motif discovery in hospital ward vital signs observation networks. 55 - Samridhi Singh, Malti Kumari Maurya, Nagendra Pratap Singh, Rajeev Kumar:
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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