AIMC Topic: Deep Learning

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KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging.

Computers in biology and medicine Jul 26, 2025
Computed tomography (CT) images are reconstructed from raw datasets including sinogram using various convolution kernels through back projection. Kernels are typically chosen depending on the anatomical structure being imaged and the specific purpose...
Algorithms Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Radiography, Thoracic
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Benchmarking of open-source algorithms for heart rate estimation from motion-corrupted photoplethysmography.

Computers in biology and medicine Jul 25, 2025
Photoplethysmography holds promise for continuous, non-intrusive heart rate monitoring through wearable devices. However, motion artifacts can impact the reliability of heart rate estimates. The integration of accelerometer data has been proven helpf...
Artifacts Accelerometry Deep Learning Humans Benchmarking Photoplethysmography Signal Processing, Computer-Assisted Algorithms Heart Rate
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Benchmarking 3D Structure-Based Molecule Generators.

Journal of chemical information and modeling Jul 25, 2025
To understand the benefits and drawbacks of 3D combinatorial and deep learning generators, a novel benchmark was created focusing on the recreation of important protein-ligand interactions and 3D ligand conformations. Using the BindingMOAD data set w...
Molecular Conformation Deep Learning Proteins Benchmarking Ligands Models, Molecular
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MMF-MCP: A Deep Transfer Learning Model Based on Multimodal Information Fusion for Molecular Feature Extraction and Carcinogenicity Prediction.

Journal of chemical information and modeling Jul 25, 2025
Molecular carcinogenicity is a crucial factor in the development of cancer, and accurate prediction of it is vital for cancer prevention, treatment, and drug development. In recent years, deep learning has been applied to predict molecular carcinogen...
Neural Networks, Computer Deep Learning Humans Carcinogens
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DEEP Q-NAS: A new algorithm based on neural architecture search and reinforcement learning for brain tumor identification from MRI.

Computers in biology and medicine Jul 24, 2025
A significant obstacle in brain tumor treatment planning is determining the tumor's actual size. Magnetic resonance imaging (MRI) is one of the first-line brain tumor diagnosis. It takes a lot of effort and mostly depends on the operator's experience...
Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Algorithms Brain Neoplasms
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Explainable deep learning for stratified medicine in inflammatory bowel disease.

Genome biology Jul 24, 2025
Moving from a one-size-fits-all to an individual approach in precision medicine requires a deeper understanding of disease molecular mechanisms. Especially in heterogeneous complex diseases such as inflammatory bowel disease (IBD), better molecular s...
Precision Medicine Deep Learning Humans Inflammatory Bowel Diseases Exome Sequencing Neural Networks, Computer
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Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data.

Scientific reports Jul 24, 2025
This study integrates ultrasound Radiomics with clinical data to enhance the diagnostic accuracy of HER-2 expression status in breast cancer, aiming to provide more reliable treatment strategies for this aggressive disease. We included ultrasound ima...
Radiomics Female Ultrasonography, Mammary Middle Aged Aged Adult Receptor, ErbB-2 Breast Neoplasms Humans Deep Learning Ultrasonography
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Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases.

Scientific reports Jul 24, 2025
GI diseases are one of the leading causes of morbidity and mortality worldwide, and early and accurate diagnosis is considered to be very important. Traditional methods like endoscopy take time and depend majorly on the judgment of the physician. The...
Image Processing, Computer-Assisted Gastrointestinal Diseases Algorithms Deep Learning Humans
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A Multi-Modal Pelvic MRI Dataset for Deep Learning-Based Pelvic Organ Segmentation in Endometriosis.

Scientific data Jul 24, 2025
Endometriosis affects approximately 190 million females of reproductive age worldwide. Magnetic Resonance Imaging (MRI) has been recommended as the primary non-invasive diagnostic method for endometriosis. This study presents new female pelvic MRI mu...
Humans Female Magnetic Resonance Imaging Pelvis Endometriosis Deep Learning Ovary
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Self-driving microscopy detects the onset of protein aggregation and enables intelligent Brillouin imaging.

Nature communications Jul 24, 2025
The process of protein aggregation, central to neurodegenerative diseases like Huntington's, is challenging to study due to its unpredictable nature and relatively rapid kinetics. Understanding its biomechanics is crucial for unraveling its role in d...
Deep Learning Protein Folding Microscopy, Fluorescence Huntington Disease Kinetics Microscopy Protein Aggregates Neurodegenerative Diseases Protein Aggregation, Pathological Humans Neural Networks, Computer
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