Cover Image

ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kulkarni, Pranav, Garin, Sean, Kanhere, Adway, Siegel, Eliot, Yi, Paul H., Parekh, Vishwa S.
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification
by: Kulkarni, Pranav, et al.
Published: (2023)

Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning
by: Kulkarni, Pranav, et al.
Published: (2024)

Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning
by: Kulkarni, Pranav, et al.
Published: (2023)

Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
by: Zheng, Guangyao, et al.
Published: (2023)

Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging
by: Yang, Qianwan, et al.
Published: (2026)

Equivariant Denoisers for Plug and Play Image Restoration
by: Renaud, Marien, et al.
Published: (2025)

IMIL: Interactive Medical Image Learning Framework
by: Rao, Adrit, et al.
Published: (2024)

Medical Image Fusion for High-Level Analysis: A Mutual Enhancement Framework for Unaligned PAT and MRI
by: Zhong, Yutian, et al.
Published: (2024)

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges
by: Habchi, Yassine, et al.
Published: (2026)

CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
by: Mallick, Siddhartha, et al.
Published: (2026)

Dual-Stream Attention Network for Hyperspectral Image Unmixing
by: Wang, Yufang, et al.
Published: (2024)

Recurrent Inference Machine for Medical Image Registration
by: Zhang, Yi, et al.
Published: (2024)

Active Learning on Medical Image
by: Biswas, Angona, et al.
Published: (2023)

Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy
by: Xu, Di
Published: (2025)

VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
by: Wu, Linshan, et al.
Published: (2024)

Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation
by: Timpano, Giuseppe, et al.
Published: (2026)

Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
by: Liang, Shijun, et al.
Published: (2024)

Physics-Embedded Feature Learning for AI in Medical Imaging
by: Das, Pulock, et al.
Published: (2026)

Artificial Intelligence in Image-based Cardiovascular Disease Analysis
by: Wang, Xin, et al.
Published: (2024)

Versatile Volumetric Medical Image Coding for Human-Machine Vision
by: Chen, Jietao, et al.
Published: (2024)

Standardizing Medical Images at Scale for AI
by: MacPhee, Callen, et al.
Published: (2026)

Inline AI: Open-source Deep Learning Inference for Cardiac MR
by: Xue, Hui, et al.
Published: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)

3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025)

MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
by: Aalishah, Romina, et al.
Published: (2025)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)

Synthetic Aperture for High Spatial Resolution Acoustoelectric Imaging
by: Oon, Wei Yi, et al.
Published: (2025)

Quantum Generative Learning for High-Resolution Medical Image Generation
by: Khatun, Amena, et al.
Published: (2024)

Structure-Preserving Medical Image Generation from a Latent Graph Representation
by: Arias, Kevin, et al.
Published: (2025)

A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
by: Tong, Guofeng, et al.
Published: (2025)

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
by: Kui, Xiaoyan, et al.
Published: (2025)

Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)

Beyond Manual Annotation: A Human-AI Collaborative Framework for Medical Image Segmentation Using Only "Better or Worse" Expert Feedback
by: Zhang, Yizhe
Published: (2025)

Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging
by: TehraniNasab, Zahra, et al.
Published: (2025)

LDSF: Lightweight Dual-Stream Framework for SAR Target Recognition by Coupling Local Electromagnetic Scattering Features and Global Visual Features
by: Xiong, Xuying, et al.
Published: (2024)

UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
by: Zhang, Xubei, et al.
Published: (2025)

Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
by: Glaszner, Lukas, et al.
Published: (2025)

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)

AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis
by: Ma, Haroui, et al.
Published: (2025)

Invited Paper: BitMedViT: Ternary-Quantized Vision Transformer for Medical AI Assistants on the Edge
by: Walczak, Mikolaj, et al.
Published: (2025)