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Smoking & Tobacco

Latest AI and machine learning research in smoking & tobacco for healthcare professionals.

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Showing 694-714 of 2,721 articles
Characterization Of Diseases In Temporal Comorbidity Networks

Comorbidity networks, which capture disease-disease co-occurrence usually based on electronic heal...

Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning

Complete removal of cancer tumors with a negative specimen margin during lumpectomy is essential i...

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis

Interpretable models are crucial for supporting clinical decision-making, driving advances in thei...

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer

Despite the widespread adoption of transformers in medical applications, the exploration of multi-...

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition

Recent advances in Large Language Models (LLMs) have demonstrated new possibilities for accurate a...

PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis

Background and Objective: Prototype-based methods improve interpretability by learning fine-graine...

MAMBO: High-Resolution Generative Approach for Mammography Images

Mammography is the gold standard for the detection and diagnosis of breast cancer. This procedure ...

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

We introduce Autoregressive Retrieval Augmentation (AR-RAG), a novel paradigm that enhances image ...

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond

The quantity and quality of vulnerability datasets are essential for developing deep learning solu...

Facial Appearance Capture at Home with Patch-Level Reflectance Prior

Existing facial appearance capture methods can reconstruct plausible facial reflectance from smart...

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., loca...

MedKAFormer: When Kolmogorov-Arnold Theorem Meets Vision Transformer for Medical Image Representation.

Vision Transformers (ViTs) suffer from high parameter complexity because they rely on Multi-layer Pe...

Jun 2025 40031829
Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...

Jun 2025 40334182
REOrdering Patches Improves Vision Models

Sequence models such as transformers require inputs to be represented as one-dimensional sequences...

Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design

In AI-empowered poster design, content-aware layout generation is crucial for the on-image arrange...

[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

May 2025 40389339
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders

We introduce the Region Encoder Network (REN), a fast and effective model for generating region-ba...

InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management

The problems that tobacco workshops encounter include poor curing, inconsistencies in supplies, ir...

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