AIMC Topic: Deep Learning

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Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multiobjective Continuous Optimization Problems.

Evolutionary computation Dec 1, 2025
In many recent works, the potential of Exploratory Landscape Analysis (ELA) features to numerically characterize single-objective continuous optimization problems has been demonstrated. These numerical features provide the input for all kinds of mach...
Machine Learning Algorithms Deep Learning
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AIRPred: A Deep Learning Model Predictor for Peptide Intensity Ratios in Cross-Linking Mass Spectrometry Improves Cross-Link Spectrum Matching.

Analytical chemistry Nov 25, 2025
Cross-linking mass spectrometry (XL-MS) is a powerful tool in structural proteomics, offering insights into protein conformations, interactions and dynamics by linking spatially proximal residues. However, current cross-linked spectrum match (CSM) sc...
Mass Spectrometry Cross-Linking Reagents Peptides Deep Learning Proteomics
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Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Nov 20, 2025
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolution (DLR-SR) on single-shot turbo spin-echo (SshTSE) images with thickness of 2 mm with DLR (SshTSE) relative to those of images with a thickness of 5...
Female Signal-To-Noise Ratio Aged Pancreatic Cyst Aged, 80 and over Young Adult Magnetic Resonance Imaging Humans Adult Image Interpretation, Computer-Assisted Middle Aged Retrospective Studies Male Pancreas Deep Learning Image Processing, Computer-Assisted
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The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing-Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy Volunteers.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Nov 20, 2025
PURPOSE: To evaluate the effect of model-based deep-learning reconstruction (DLR) compared with that of compressed sensing-sensitivity encoding (CS) on cine cardiac magnetic resonance (CMR).
Magnetic Resonance Imaging, Cine Healthy Volunteers Artifacts Data Compression Adult Humans Image Processing, Computer-Assisted Male Heart Ventricular Function, Left Female Stroke Volume Heart Ventricles Reproducibility of Results Middle Aged Young Adult Deep Learning
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Deep learning model for automated detection of Helicobacter pylori and intestinal metaplasia on gastric biopsy digital whole slide images.

American journal of clinical pathology Nov 19, 2025
OBJECTIVE: To develop an automated detection tool for Helicobacter pylori (HP) microorganisms (HPOrg) and intestinal metaplasia (IM) identification on gastric biopsy specimens on hematoxylin and eosin (H&E) whole-slide images (WSIs), incorporating ba...
Humans Helicobacter pylori Gastritis Image Interpretation, Computer-Assisted Stomach Deep Learning Metaplasia Biopsy Helicobacter Infections
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Enhancing differentiation between unipolar and bipolar depression through integration of machine learning and electroencephalogram analysis.

Journal of affective disorders Nov 15, 2025
To enhance the differentiation between unipolar depression (UPD) and bipolar depression (BPD), this study integrates machine learning and deep learning models with electroencephalography (EEG) data and clinical features. Utilizing Python for data pre...
Diagnosis, Differential Electroencephalography Depressive Disorder Deep Learning Bipolar Disorder Support Vector Machine Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Female
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Breast cancer early detection and molecular subtype prediction by combination of Raman spectroscopy with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 15, 2025
Breast cancer is one of the most common tumors in women, and early screening can significantly reduce mortality rates. Meanwhile, accurately identifying HER2-positive and HER2-negative subtypes of breast cancer is critical for helping doctors determi...
Middle Aged Adult Humans Deep Learning Breast Neoplasms Early Detection of Cancer Neural Networks, Computer Spectrum Analysis, Raman Biomarkers, Tumor Receptor, ErbB-2 Female
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Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Nov 10, 2025
PURPOSE: Shear wave elastography (SWE) has been investigated as a complement to B-mode ultrasound for breast cancer diagnosis. Although multicenter trials suggest benefits for patients with Breast Imaging Reporting and Data System (BI-RADS) 4(a) brea...
Deep Learning Ultrasonography, Mammary Elasticity Imaging Techniques Adult Breast Neoplasms Middle Aged Humans Female Aged
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[Advances in the application of artificial intelligence-based predictive models for histopathological image analysis in pathological diagnosis].

Zhonghua bing li xue za zhi = Chinese journal of pathology Nov 8, 2025
Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Artificial Intelligence Prognosis Neoplasms
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[Applications and advances of artificial intelligence in gastric mucosal biopsy pathology].

Zhonghua bing li xue za zhi = Chinese journal of pathology Nov 8, 2025
Humans Artificial Intelligence Stomach Neoplasms Gastric Mucosa Deep Learning Biopsy Helicobacter Infections
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