Hematology

Lymphoma

Latest AI and machine learning research in lymphoma for healthcare professionals.

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Dynamic PET Image Reconstruction via Non-negative INR Factorization

The reconstruction of dynamic positron emission tomography (PET) images from noisy projection data...

Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting

Accurate tropical cyclone (TC) intensity prediction is crucial for mitigating storm hazards, yet i...

Graph neural networks for single-cell omics data: a review of approaches and applications.

Rapid advancement of sequencing technologies now allows for the utilization of precise signals at si...

Mar 2025 40091193
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion

Malignant lymphoma subtype classification directly impacts treatment strategies and patient outcom...

A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings

Dynamic interactions between entities are prevalent in domains like social platforms, financial sy...

AMPLE: Event-Driven Accelerator for Mixed-Precision Inference of Graph Neural Networks

Graph Neural Networks (GNNs) have recently gained attention due to their performance on non-Euclid...

Asymptotics of Non-Convex Generalized Linear Models in High-Dimensions: A proof of the replica formula

The analytic characterization of the high-dimensional behavior of optimization for Generalized Lin...

Are the Majority of Public Computational Notebooks Pathologically Non-Executable?

Computational notebooks are the de facto platforms for exploratory data science, offering an inter...

A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images

Early detection of COVID-19 is crucial for effective treatment and controlling its spread. This st...

Additive Manufacturing Processes Protocol Prediction by Artificial Intelligence using X-ray Computed Tomography data

The quality of the part fabricated from the Additive Manufacturing (AM) process depends upon the p...

Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation

Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of ...

A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction

Industrial X-ray cone-beam CT (XCT) scanners are widely used for scientific imaging and non-destru...

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET

Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essentia...

Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification

Foundation models pretrained on large-scale pathology datasets have shown promising results across...

Am I Infected? Lessons from Operating a Large-Scale IoT Security Diagnostic Service

There is an expectation that users of home IoT devices will be able to secure those devices, but t...

FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI Synthesis

Multi-modality magnetic resonance imaging (MRI) is essential for the diagnosis and treatment of br...

Bounds on the computational complexity of neurons due to dendritic morphology

The simple linear threshold units used in many artificial neural networks have a limited computation...

CellFuse Enables Multi-modal Integration of Single-cell and Spatial Proteomics data

Single-cell and spatial proteomic technologies capture complementary biological information, yet no ...

Mechanistically Informed Machine Learning Links Non-Canonical TCA Cycle Activity to Warburg Metabolism and Hallmarks of Malignancy

Cancer cells undergo extensive metabolic rewiring to support growth, survival, and phenotypic plasti...

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