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Low-Dose CT Denoising Using Pseudo-CT Image Pairs |
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1 | (10) |
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A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint |
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11 | (14) |
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One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction |
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25 | (12) |
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Mohammed Amine Gharsallaoui |
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Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing |
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37 | (10) |
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Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach |
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47 | (12) |
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Improving Tuberculosis Recognition on Bone-Suppressed Chest X-Rays Guided by Task-Specific Features |
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59 | (11) |
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Template-Based Inter-modality Super-Resolution of Brain Connectivity |
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70 | (13) |
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Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI |
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83 | (10) |
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False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning |
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93 | (11) |
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Investigating and Quantifying the Reproducibility ot Graph Neural Networks in Predictive Medicine |
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104 | (13) |
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Mohammed Amine Gharsallaoui |
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Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance |
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117 | (11) |
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Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition |
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128 | (10) |
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Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray |
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138 | (9) |
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Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer |
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147 | (10) |
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Mario Jreige, John O. Prior, and Adrien Depeursinge Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network |
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157 | (11) |
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Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution |
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168 | (13) |
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Muhammad Febrian Rachmadi |
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Maria del C. Vaides-Hernandez |
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A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography |
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181 | (11) |
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Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography |
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192 | (9) |
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The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification |
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201 | (11) |
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Octavio E. Martinez Manzanera |
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Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task Rol Head |
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212 | (9) |
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Towards Cancer Patients Classification Using Liquid Biopsy |
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221 | (10) |
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Foreseeing Survival Through `Fuzzy Intelligence': A Cognitively-Inspired Incremental Learning Based de novo Model for Breast Cancer Prognosis by Multi-Omics Data Fusion |
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231 | (12) |
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Improving Across Dataset Brain Age Predictions Using Transfer Learning |
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243 | (12) |
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The Alzheimer's Disease Neuroimaging Initiative |
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Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation |
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255 | (11) |
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FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates |
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266 | (13) |
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| Author Index |
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279 | |
Biežāk uzdotie jautājumi par e-grāmatām