Transplantation

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

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Technological Progress and Obsolescence: Analyzing the Environmental Economic Impacts of MacBook Pro I/O Devices

This study investigates how the new release of MacBook Pro I/O devices affects the obsolescence of...

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models

The burgeoning field of foundation models necessitates advanced data processing mechanisms capable...

DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder

Diffusion models for garment-centric human generation from text or image prompts have garnered eme...

Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers

Whole-body hemodynamics simulators, which model blood flow and pressure waveforms as functions of ...

Efficiently Solving Turn-Taking Stochastic Games with Extensive-Form Correlation

We study equilibrium computation with extensive-form correlation in two-player turn-taking stochas...

Performance evaluation of mixed-precision Runge-Kutta methods for the solution of partial differential equations

This work focuses on the numerical study of a recently published class of Runge-Kutta methods desi...

Context-Aware Outlier Rejection for Robust Multi-View 3D Tracking of Similar Small Birds in An Outdoor Aviary

This paper presents a novel approach for robust 3D tracking of multiple birds in an outdoor aviary...

MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection

Problem: Pancreas radiological imaging is challenging due to the small size, blurred boundaries, a...

Machine Learning Co-pilot for Screening of Organic Molecular Additives for Perovskite Solar Cells

Machine learning (ML) has been extensively employed in planar perovskite photovoltaics to screen e...

Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval

Existing cross-modal retrieval methods typically rely on large-scale vision-language pair data. Th...

Re-calibrating methodologies in social media research: Challenge the visual, work with Speech

This article methodologically reflects on how social media scholars can effectively engage with sp...

Predicting Survival of Hemodialysis Patients using Federated Learning

Hemodialysis patients who are on donor lists for kidney transplant may get misidentified, delaying...

Structurally Consistent MRI Colorization using Cross-modal Fusion Learning

Medical image colorization can greatly enhance the interpretability of the underlying imaging moda...

LoRACLR: Contrastive Adaptation for Customization of Diffusion Models

Recent advances in text-to-image customization have enabled high-fidelity, context-rich generation...

Learned Compression for Compressed Learning

Modern sensors produce increasingly rich streams of high-resolution data. Due to resource constrai...

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

Patient life circumstances, including social determinants of health (SDOH), shape both health outc...

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell tra...

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FOF-X: Towards Real-time Detailed Human Reconstruction from a Single Image

We introduce FOF-X for real-time reconstruction of detailed human geometry from a single image. Ba...

LinVT: Empower Your Image-level Large Language Model to Understand Videos

Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an L...

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens

Transformers, a groundbreaking architecture proposed for Natural Language Processing (NLP), have a...

Assessing and Learning Alignment of Unimodal Vision and Language Models

How well are unimodal vision and language models aligned? Although prior work have approached answ...

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