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10/20/2022
Large-batch Optimization for Dense Visual Predictions
Training a large-scale deep neural network in a large-scale dataset is c...
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08/18/2022
Unifying Visual Perception by Dispersible Points Learning
We present a conceptually simple, flexible, and universal visual percept...
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04/21/2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Discriminative learning, restorative learning, and adversarial learning ...
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04/15/2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
Recently, self-supervised instance discrimination methods have achieved ...
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09/15/2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
Pulmonary embolism (PE) represents a thrombus ("blood clot"), usually or...
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08/12/2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
Transfer learning from supervised ImageNet models has been frequently us...
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02/21/2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
This paper introduces a new concept called "transferable visual words" (...
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07/14/2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
Medical images are naturally associated with rich semantics about the hu...
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03/30/2020
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)
Rationale: Computer aided detection (CAD) algorithms for Pulmonary Embol...
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12/11/2019
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
The state-of-the-art models for medical image segmentation are variants ...
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08/19/2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Transfer learning from natural image to medical image has established as...
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08/16/2019
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Generative adversarial networks (GANs) have ushered in a revolution in i...
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01/25/2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
We investigate the effectiveness of a simple solution to the common prob...
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07/18/2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
In this paper, we present UNet++, a new, more powerful architecture for ...
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02/03/2018
AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts
The splendid success of convolutional neural networks (CNNs) in computer...
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06/02/2017
Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks
Cardiovascular disease (CVD) is the leading cause of mortality yet large...
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06/02/2017
