Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 60,771 to 60,780 of 228,300 articles

Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike

arXiv Jan 16, 2026
Test-time adaptation (TTA) refers to adapting a classifier for the test data when the probability distribution of the test data slightly differs from that of the training data of the model. To the best of our knowledge, most of the existing TTA appro... read more 
Machine Learning cs.CV

AVP-Pro: An Adaptive Multi-Modal Fusion and Contrastive Learning Approach for Comprehensive Two-Stage Antiviral Peptide Identification

arXiv Jan 16, 2026
The accurate identification of antiviral peptides (AVPs) is crucial for novel drug development. However, existing methods still have limitations in capturing complex sequence dependencies and distinguishing confusing samples with high similarity. To ... read more 
Machine Learning

IDDR-NGP: Incorporating Detectors for Distractor Removal with Instant Neural Radiance Field

arXiv Jan 16, 2026
This paper presents the first unified distractor removal method, named IDDR-NGP, which directly operates on Instant-NPG. The method is able to remove a wide range of distractors in 3D scenes, such as snowflakes, confetti, defoliation and petals, wher... read more 
Computer Vision and Pattern Recognition cs.AI

Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations

arXiv Jan 16, 2026
Interpretation of imaging findings based on morphological characteristics is important for diagnosing pulmonary nodules on chest computed tomography (CT) images. In this study, we constructed a visual question answering (VQA) dataset from structured ... read more 
Image and Video Processing cs.CV physics.med-ph

Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset

arXiv Jan 16, 2026
Recently, computer-aided diagnosis systems have been developed to support diagnosis, but their performance depends heavily on the quality and quantity of training data. However, in clinical practice, it is difficult to collect the large amount of CT ... read more 
Image and Video Processing cs.CV physics.med-ph

CoDance: An Unbind-Rebind Paradigm for Robust Multi-Subject Animation

arXiv Jan 16, 2026
Character image animation is gaining significant importance across various domains, driven by the demand for robust and flexible multi-subject rendering. While existing methods excel in single-person animation, they struggle to handle arbitrary subje... read more 
Computer Vision and Pattern Recognition

Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals

arXiv Jan 16, 2026
Understanding how neural activity gives rise to perception is a central challenge in neuroscience. We address the problem of decoding visual information from high-density intracortical recordings in primates, using the THINGS Ventral Stream Spiking D... read more 
Neurons and Cognition cs.CV

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning

arXiv Jan 16, 2026
Vision-as-inverse-graphics, the concept of reconstructing an image as an editable graphics program is a long-standing goal of computer vision. Yet even strong VLMs aren't able to achieve this in one-shot as they lack fine-grained spatial and physical... read more 
Computer Vision and Pattern Recognition cs.AI cs.GR

Mechanistic Learning for Survival Prediction in NSCLC Using Routine Blood Biomarkers and Tumor Kinetics

arXiv Jan 16, 2026
Background Predicting overall survival (OS) in non-small cell lung cancer (NSCLC) is essential for clinical decision-making and drug development. While tumor and blood test markers kinetics are intrinsically linked, their joint dynamics and relations... read more 
Quantitative Methods

ATATA: One Algorithm to Align Them All

arXiv Jan 16, 2026
We suggest a new multi-modal algorithm for joint inference of paired structurally aligned samples with Rectified Flow models. While some existing methods propose a codependent generation process, they do not view the problem of joint generation from ... read more 
Computer Vision and Pattern Recognition
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