Ausgabe 1/2024
Inhalt (21 Artikel)
Collapsed lung disease classification by coupling denoising algorithms and deep learning techniques
Upasana Chutia, Anand Shanker Tewari, Jyoti Prakash Singh
A comprehensive survey to study the utilities of image segmentation methods in clinical routine
Rashmita Kumari Mohapatra, Lochan Jolly, Dalamchwami Chen Lyngdoh, Gajendra Kumar Mourya, Iffa Afsa Changaai Mangalote, Syed Intekhab Alam, Sarada Prasad Dakua
Unraveling the complexity: deep learning for imbalanced retinal lesion detection and multi-disease identification
Gendry Alfonso-Francia, Jesus Carlos Pedraza-Ortega, Manuel Toledano-Ayala, Marco Antonio Aceves-Fernandez, Seok-Bum Ko, Saul Tovar-Arriaga
Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
Sudipta Roy, Debojyoti Pal, Tanushree Meena
The application of exponential random graph models to collaboration networks in biomedical and health sciences: a review
Fei Yu, Helal M. El-Zaatari, Michael R. Kosorok, Andrea Carnegie, Gaurav Dave
Pan-cancer classification of multi-omics data based on machine learning models
Claudia Cava, Soudabeh Sabetian, Christian Salvatore, Isabella Castiglioni
MicroRNA-gene regulatory network of TLR signaling in neuroinflammation-induced Parkinson’s disease: a bioinformatics approach
Gurpreet Singh, Dharmendra Kumar Khatri
Comparative evaluation of multiomics integration tools for the study of prediabetes: insights into the earliest stages of type 2 diabetes mellitus
Mohamed Emam, Ahmed Tarek, Mohamed Soudy, Agostinho Antunes, Mohamed El Hadidi, Mohamed Hamed
A hybrid modeling approach to simulate complex systems and classify behaviors
Arsineh Boodaghian Asl, Jayanth Raghothama, Adam Darwich, Sebastiaan Meijer
Drug contraindications in comorbid diseases: a protein interactome perspective
Kalyani B. Karunakaran, Madhavi K. Ganapathiraju, Sanjeev Jain, Samir K. Brahmachari, N. Balakrishnan
: a unified neural network architecture for brain image classification
Sudip Ghosh, Deepti, Shivam Gupta
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE
R. Nithya, T. Kokilavani, T. Lucia Agnes Beena
CT and MRI image fusion via multimodal feature interaction network
Wenhao Song, Xiangqin Zeng, Qilei Li, Mingliang Gao, Hui Zhou, Junzhi Shi
Identification of COVID-19 with CT scans using radiomics and DL-based features
Sunil Dalal, Jyoti Prakash Singh, Arvind Kumar Tiwari, Abhinav Kumar
Drug repurposing for the treatment of patients infected with SARS-CoV-2
Guilherme F. Martins, Thiago S. Castro, Daví A. C. Ferreira
Privacy-preserving predictive modeling for early detection of chronic kidney disease
Prokash Gogoi, J. Arul Valan
Computational screening identifies depsidones as promising Aurora A kinase inhibitors: extra precision docking and molecular dynamics studies
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
TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application
M. Jeya Sundari, N. C. Brintha
Few-shot classification with prototypical neural network for hospital flow recognition under uncertainty
Mike C. Chang, Adel Alaeddini
A machine learning-based early diagnosis model for chronic kidney disease using SPegasos
Monire Norouzi, Elif Altintas Kahriman
Computational model of engagement with stigmatised sentiment: COVID and general vaccine discourse on social media
Nadiya Straton