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06/24/2023
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation
Label noise is prevalent in machine learning datasets. It is crucial to ...
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07/11/2022
Intra-Modal Constraint Loss For Image-Text Retrieval
Cross-modal retrieval has drawn much attention in both computer vision a...
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04/25/2022
Strategic Signaling for Utility Control in Audit Games
As an effective method to protect the daily access to sensitive data aga...
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03/09/2022
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling
Cancer stage is a large determinant of patient prognosis and management ...
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02/18/2022
Social Welfare Maximization in Cross-Silo Federated Learning
As one of the typical settings of Federated Learning (FL), cross-silo FL...
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02/16/2022
MMZDA: Enabling Social Welfare Maximization in Cross-Silo Federated Learning
As one of the typical settings of Federated Learning (FL), cross-silo FL...
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03/04/2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference
The MICCAI conference has encountered tremendous growth over the last ye...
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12/12/2020
AMINN: Autoencoder-based Multiple Instance Neural Network for Outcome Prediction of Multifocal Liver Metastases
Colorectal cancer is one of the most common and lethal cancers and color...
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04/27/2020
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation
Accurate segmentation of lung and infection in COVID-19 CT scans plays a...
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09/06/2019
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model
Quantitative medical image computing (radiomics) has been widely applied...
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09/05/2019