Geriatrics

Explanations are a means to an end

Modern methods for explainable machine learning are designed to describe how models map inputs to outputs--without deep consideration of how these explanations will be used in practice. This paper argues that explanations should be designed and evaluated with a specific end in mind. We describe how to formalize this end in a framework based in statistical decision theory. We show how this functi...

BrainMT: A Hybrid Mamba-Transformer Architecture for Modeling Long-Range Dependencies in Functional MRI Data

Recent advances in deep learning have made it possible to predict phenotypic measures directly from functional magnetic resonance imaging (fMRI) brain volumes, sparking significant interest in the neuroimaging community. However, existing approaches, primarily based on convolutional neural networks or transformer architectures, often struggle to model the complex relationships inherent in fMRI d...

Mobile Sleep Stage Analysis Using Multichannel Wearable Devices Integrated with Stretchable Transparent Electrodes.

The prevalence of sleep disorders in the aging population and the importance of sleep quality for health have emphasized the need for accurate and acc...

The Aging Multiverse: Generating Condition-Aware Facial Aging Tree via Training-Free Diffusion

We introduce the Aging Multiverse, a framework for generating multiple plausible facial aging trajectories from a single image, each conditioned on ...

From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging

Face aging has become a crucial task in computer vision, with applications ranging from entertainment to healthcare. However, existing methods strug...

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

Technological progress has led to concrete advancements in tasks that were regarded as challenging, such as automatic fact-checking. Interest in ado...

inMOTIFin: a lightweight end-to-end simulation software for regulatory sequences

The accurate development, assessment, interpretation, and benchmarking of bioinformatics frameworks for analyzing transcriptional regulatory grammar...

Radiomic fingerprints for knee MR images assessment

Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high variability and limited scalability. Existing radiomic...

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

Osteoporosis, characterized by reduced bone mineral density (BMD) and compromised bone microstructure, increases fracture risk in aging populations....

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

Interpretable models are crucial for supporting clinical decision-making, driving advances in their development and application for medical images. ...

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that p...

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation

We present Sparsh-X, the first multisensory touch representations across four tactile modalities: image, audio, motion, and pressure. Trained on ~1M...

Exploring EEG Indicators to Evaluate Listening Difficulties in Noisy Environments

Auditory processing difficulties involve challenges in understanding speech in noisy environments despite normal hearing. However, the neural mechan...

Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning

Precision process planning in Computer Numerical Control (CNC) machining demands rapid, context-aware decisions on tool selection, feed-speed pairs,...

Personalizable Long-Context Symbolic Music Infilling with MIDI-RWKV

Existing work in automatic music generation has primarily focused on end-to-end systems that produce complete compositions or continuations. However...

Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning.

In the era of large models and big data, the security of optical fiber communication backbone networks has garnered significant attention. Quantum noi...

Self-adaptive hybrid data-model optimization for secure end-to-end radio-over-fiber transmission.

A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fiber (RoF) system. The system integrates deep learni...

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving

Autoregressive Transformers are increasingly being deployed as end-to-end robot and autonomous vehicle (AV) policy architectures, owing to their sca...

On the Effectiveness of Integration Methods for Multimodal Dialogue Response Retrieval

Multimodal chatbots have become one of the major topics for dialogue systems in both research community and industry. Recently, researchers have she...

It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank Representations

Infrared small target detection (IRSTD) remains a long-standing challenge in complex backgrounds due to low signal-to-clutter ratios (SCR), diverse ...