医学 AI - arXivDaily 专题

2412.17150 2024-12-24 cs.LG 57%

SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning

Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi, Ivan V. Bajić

专题命中医学数据与评测：medical image(abstract)；分类 cs.LG

Comments Accepted for paper presentation at the the 1st Workshop on Federated Learning for Unbounded and Intelligent Decentralization (FLUID), in AAAI 2025

2410.04749 2024-12-20 cs.CV 57%

LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies

Ameer Hamza, Abdullah, Yong Hyun Ahn, Sungyoung Lee, Seong Tae Kim

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

Comments AAAI2025

2412.07872 2024-12-12 cs.LG cs.AI 57%

Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction

Thalita Mendonça Antico, Larissa F. Rodrigues Moreira, Rodrigo Moreira

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

2412.05438 2024-12-10 cs.LG 57%

Granular Ball K-Class Twin Support Vector Classifier

M. A. Ganaie, Vrushank Ahire, Anouck Girard

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

2412.01167 2024-12-03 cs.LG eess.AS 57%

HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning

Pamely Zantou, Blessed Guda, Bereket Retta, Gladys Inabeza, Carlee Joe-Wong, Assane Gueye

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

Comments Poster at ACM compass 2024

2412.01056 2024-12-03 cs.CV 57%

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos

Lauhitya Reddy, Ketan Anand, Shoibolina Kaushik, Corey Rodrigo, J. Lucas McKay, Trisha M. Kesar, Hyeokhyen Kwon

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV

Comments 21 pages, 4 Figures, 4 Tables, Submitted to PLOS Digital Health

2412.00687 2024-12-03 cs.LG cs.CR 57%

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture

Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad

专题命中医学数据与评测：medical image(abstract)；分类 cs.LG

Comments 38th Conference on Neural Information Processing Systems (NeurIPS 2024) - MusIML Workshop

2403.11026 2024-12-03 cs.CV 57%

EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration

Abu Zahid Bin Aziz, Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

Comments *Equal Contribution, **Corresponding Author

2401.03482 2024-12-03 cs.LG stat.ML 57%

Uncertainty Quantification on Clinical Trial Outcome Prediction

Tianyi Chen, Yingzhou Lu, Nan Hao, Yuanyuan Zhang, Capucine Van Rechem, Jintai Chen, Tianfan Fu

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

2411.19502 2024-12-02 cs.LG cs.AI cs.HC 57%

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification

Ruimin Peng, Jiayu An, Dongrui Wu

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

Journal ref IEEE Int'l Conf. on Systems, Man and Cybernetics, Sarawak, Malaysia, October 2024

2408.08982 2024-11-20 cs.CV 57%

Deep Generative Classification of Blood Cell Morphology

Simon Deltadahl, Julian Gilbey, Christine Van Laer, Nancy Boeckx, Mathie Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts consortium, James HF Rudd, Concetta Piazzese, Joseph Taylor, Nicholas Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

2411.10383 2024-11-18 cs.LG 57%

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare

Suraj Racha, Shubh Gupta, Humaira Firdowse, Aastik Solanki, Ganesh Ramakrishnan, Kshitij S. Jadhav

专题命中医学数据与评测：medical image(abstract)；分类 cs.LG

Comments Accepted at CODS COMAD'24 and to be published in the Discover Data Journal(https://link.springer.com/journal/44248)

2411.07097 2024-11-12 cs.CV 57%

Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification

Jannik Franzen, Claudia Winklmayr, Vanessa E. Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan P. Albrecht, Philip Bischoff, Dagmar Kainmueller

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV

Comments 13 pages, 4 figures

2404.00785 2024-11-12 cs.CV cs.LG q-bio.NC 57%

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning

Jakaria Rabbi, Johannes Kiechle, Christian Beaulieu, Nilanjan Ray, Dana Cobzas

专题命中医学数据与评测：biomedical(comments,journal_ref)；分类 cs.CV、cs.LG、q-bio

Comments Length: 26 pages and Accepted for publication in the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:030

Journal ref Machine.Learning.for.Biomedical.Imaging. 2 (2024)

2411.05173 2024-11-11 cs.LG 57%

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging

Prakash Chourasia, Tamkanat E Ali, Sarwan Ali, Murray Pattersn

专题命中医学数据与评测：biomedical(abstract)；分类 cs.LG

Comments Accepted at SIMBig 2024

2411.02477 2024-11-06 cs.CV cs.AI 57%

Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario

Rafic Nader, Florent Autrusseau, Vincent L'Allinec, Romain Bourcier

专题命中医学数据与评测：MRI(abstract)；分类 cs.CV

Comments 12 pages, 9 figures, accepted for publication in IEEE Trans. on Medical Imaging. arXiv admin note: substantial text overlap with arXiv:2403.18734

2411.00552 2024-11-04 cs.CV 57%

Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics

J. Seiffarth, L. Blöbaum, R. D. Paul, N. Friederich, A. J. Yamachui Sitcheu, R. Mikut, H. Scharr, A. Grünberger, K. Nöh

专题命中医学数据与评测：biomedical(abstract)；分类 cs.CV

Comments 17 pages, 4 figures, 3 tables, BioImage Computing @ ECCV 2024

2409.01437 2024-11-01 cs.CV cs.AI 57%

Kvasir-VQA: A Text-Image Pair GI Tract Dataset

Sushant Gautam, Andrea Storås, Cise Midoglu, Steven A. Hicks, Vajira Thambawita, Pål Halvorsen, Michael A. Riegler

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

Comments to be published in VLM4Bio 2024, part of the ACM Multimedia (ACM MM) conference 2024

2410.22490 2024-10-31 cs.CV 57%

The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks

Joseph Damilola Akinyemi, Kolawole John Adebayo

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV

Comments To appear in th Sixth International Conference on Soft Computing and its Engineering Applications (icSoftComp2024)

2307.08235 2024-10-31 cs.LG 57%

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox

Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

专题命中医学数据与评测：biomedical(abstract)；分类 cs.LG

Comments Accepted at NeurIPS 2024 Datasets and Benchmarks

2111.13230 2024-10-28 cs.CV cs.AI 57%

FedDropoutAvg: Generalizable federated learning for histopathology image classification

Gozde N. Gunesli, Mohsin Bilal, Shan E Ahmed Raza, Nasir M. Rajpoot

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

Comments This work has been submitted to the IEEE for possible publication

2110.05323 2024-10-25 cs.LG cs.AI 57%

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz

专题命中医学数据与评测：medical image(abstract)；分类 cs.LG

Comments To appear in ICML 2022

2403.13612 2024-10-24 cs.LG stat.ML 57%

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?

Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala

专题命中医学数据与评测：biomedical(abstract)；分类 cs.LG

Journal ref Methods Inf Med 2024; 63(01/02): 035-051

2311.13717 2024-10-23 cs.CV 57%

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

McKell Woodland, Austin Castelo, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock

专题命中医学数据与评测：medical image(abstract)；分类 cs.CV

Comments This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in LNCS vol. 15012, and is available online at https://doi.org/10.1007/978-3-031-72390-2_9

Journal ref MICCAI 2024. Lecture Notes in Computer Science, vol 15012. Springer, Cham (2024)

2410.13351 2024-10-18 cs.CL cs.AI cs.LG 57%

Representation Learning of Structured Data for Medical Foundation Models

Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan

专题命中医学数据与评测：CT(abstract)；分类 cs.LG

Comments NeurIPS 2024 Workshop on Unifying Representations in Neural Models (UniReps 2024)

2404.18101 2024-10-15 cs.LG 57%

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach

Mushir Akhtar, M. Tanveer, Mohd. Arshad

专题命中医学数据与评测：biomedical(abstract)；分类 cs.LG

Journal ref Pattern Recognition, Elsevier (2024)

2401.03609 2024-10-10 cs.LG cs.AI 57%

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour

专题命中医学数据与评测：medical image(abstract)；分类 cs.LG

Comments Published in IEEE Transactions on Medical Imaging (TMI), DOI: https://doi.org/10.1109/TMI.2024.3450855

Journal ref IEEE Transactions on Medical Imaging, 2024

2410.05577 2024-10-10 cs.CV 57%

Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future

Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV

2102.09342 2024-10-08 cs.CY cs.LG 57%

FedMood: Federated Learning on Mobile Health Data for Mood Detection

Xiaohang Xu, Hao Peng, Lichao Sun, Md Zakirul Alam Bhuiyan, Lianzhong Liu, Lifang He

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.LG

2410.01813 2024-10-04 cs.CV cs.AI 57%

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare

Zhikai Li, Jing Zhang, Qingyi Gu

专题命中医学数据与评测：diagnosis(abstract)；分类 cs.CV

1. 医学数据与评测 2125 篇

SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning

LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies

Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction

Granular Ball K-Class Twin Support Vector Classifier

HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture

EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration

Uncertainty Quantification on Clinical Trial Outcome Prediction

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification

Deep Generative Classification of Blood Cell Morphology

Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare

Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification

Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging

Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario

Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics

Kvasir-VQA: A Text-Image Pair GI Tract Dataset

The PV-ALE Dataset: Enhancing Apple Leaf Disease Classification Through Transfer Learning with Convolutional Neural Networks

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox

FedDropoutAvg: Generalizable federated learning for histopathology image classification

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend

Representation Learning of Structured Data for Medical Foundation Models

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future

FedMood: Federated Learning on Mobile Health Data for Mood Detection

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare