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Smoking & Tobacco

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

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Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models

Physical adversarial patch attacks critically threaten pedestrian detection, causing surveillance an...

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA

Vision Graph Neural Networks (ViGs) represent an image as a graph of patch tokens, enabling adaptive...

Latent Denoising Improves Visual Alignment in Large Multimodal Models

Large Multimodal Models (LMMs) such as LLaVA are typically trained with an autoregressive language m...

T-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability

Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak align...

Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging

Breast cancer diagnosis demands rapid and precise tools, yet traditional histopathological methods o...

A Machine Learning Based Causal Interface for Time-Varying Environmental Predictors of Substance Use Initiation in the ABCD Study

Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data ...

Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training

Vision transformers (ViT) have been shown to allow for more flexible feature detection and can outpe...

MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images

In diagnostic reports, experts encode complex imaging data into clinically actionable information. T...

PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction

3D Gaussian Splatting (3DGS) has recently enabled highly photorealistic 3D reconstruction from casua...

TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment

Recent progress in vision-language pretraining has enabled significant improvements to many downstre...

PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning

Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-le...

Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding

Remote sensing understanding inherently requires multi-resolution observation, since different targe...

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation

Perturbation-based explainability methods such as KernelSHAP provide model-agnostic attributions but...

Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion

Face Anti-Spoofing (FAS) algorithms, designed to secure face recognition systems against spoofing, s...

IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures

Ask a frontier model how to taper six milligrams of alprazolam (psychiatrist retired, ten days of pi...

GPAFormer: Graph-guided Patch Aggregation Transformer for Efficient 3D Medical Image Segmentation

Deep learning has been widely applied to 3D medical image segmentation tasks. However, due to the di...

Region-Graph Optimal Transport Routing for Mixture-of-Experts Whole-Slide Image Classification

Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) cla...

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction

Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. A...

A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection

Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene sign...

ViT-Explainer: An Interactive Walkthrough of the Vision Transformer Pipeline

Transformer-based architectures have become the shared backbone of natural language processing and c...

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