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Computational Advances in Bio and Medical Sciences : 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11–13, 2023, Revised Selected Papers / / edited by Mukul S. Bansal, Wei Chen, Yury Khudyakov, Ion I. Măndoiu, Marmar R. Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Sharma V. Thankachan, Alexander Zelikovsky
| Computational Advances in Bio and Medical Sciences : 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11–13, 2023, Revised Selected Papers / / edited by Mukul S. Bansal, Wei Chen, Yury Khudyakov, Ion I. Măndoiu, Marmar R. Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Sharma V. Thankachan, Alexander Zelikovsky |
| Autore | Bansal Mukul S |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (439 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
ChenWei
KhudyakovYury E MăndoiuIon MoussaMarmar R PattersonM. G RajasekaranSanguthevar SkumsPavel ThankachanSharma V ZelikovskyAlexander |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Application software
Computers, Special purpose Image processing - Digital techniques Computer vision Machine learning Computer and Information Systems Applications Special Purpose and Application-Based Systems Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning |
| ISBN |
9783031827686
3031827686 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volume -- Identification of Chimeric RNAs: A Novel Machine Learning Perspective -- PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions -- Optimizing Deep Learning for Biomedical Imaging -- Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model -- Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers -- On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs -- Plastic: An Easy to use and Modular Tool for Designing Tumor Phylogeny Reconstruction Pipelines -- A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans -- A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images -- FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction -- Computational Tumor Progression Analysis via Seriation based Trajectory Inference -- Multilayer Network Analysis of Brain Signals for Detecting Alzheimer’s Disease -- DNA Methylation Based Subtype Classification of Breast Cancer -- Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis -- Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding -- Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images -- Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach -- Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover’s Distance -- Functional Connectivity Disruptions in Alzheimer’s Disease: A Maximum Flow Perspective -- On Multi-Phase Metagenomics Reads Binning -- A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets -- AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer’s Disease. |
| Record Nr. | UNINA-9910983315503321 |
Bansal Mukul S
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Advances in Bio and Medical Sciences : 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11–13, 2023, Revised Selected Papers / / edited by Mukul S. Bansal, Wei Chen, Yury Khudyakov, Ion I. Măndoiu, Marmar R. Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Sharma V. Thankachan, Alexander Zelikovsky
| Computational Advances in Bio and Medical Sciences : 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11–13, 2023, Revised Selected Papers / / edited by Mukul S. Bansal, Wei Chen, Yury Khudyakov, Ion I. Măndoiu, Marmar R. Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Sharma V. Thankachan, Alexander Zelikovsky |
| Autore | Bansal Mukul S |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (439 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
ChenWei
KhudyakovYury E MăndoiuIon MoussaMarmar R PattersonM. G RajasekaranSanguthevar SkumsPavel ThankachanSharma V ZelikovskyAlexander |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Application software
Computers, Special purpose Image processing - Digital techniques Computer vision Machine learning Computer and Information Systems Applications Special Purpose and Application-Based Systems Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning |
| ISBN |
9783031827686
3031827686 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volume -- Identification of Chimeric RNAs: A Novel Machine Learning Perspective -- PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions -- Optimizing Deep Learning for Biomedical Imaging -- Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model -- Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers -- On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs -- Plastic: An Easy to use and Modular Tool for Designing Tumor Phylogeny Reconstruction Pipelines -- A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans -- A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images -- FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction -- Computational Tumor Progression Analysis via Seriation based Trajectory Inference -- Multilayer Network Analysis of Brain Signals for Detecting Alzheimer’s Disease -- DNA Methylation Based Subtype Classification of Breast Cancer -- Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis -- Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding -- Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images -- Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach -- Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover’s Distance -- Functional Connectivity Disruptions in Alzheimer’s Disease: A Maximum Flow Perspective -- On Multi-Phase Metagenomics Reads Binning -- A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets -- AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer’s Disease. |
| Record Nr. | UNISA-996647866003316 |
|
Bansal Mukul S
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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