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07/29/2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
Immune repertoire classification, a typical multiple instance learning (...
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07/11/2023
DNAGPT: A Generalized Pretrained Tool for Multiple DNA Sequence Analysis Tasks
The success of the GPT series proves that GPT can extract general inform...
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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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11/26/2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation
Recently, deep neural networks have greatly advanced histopathology imag...
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11/16/2022
Learning with Noisy Labels over Imbalanced Subpopulations
Learning with Noisy Labels (LNL) has attracted significant attention fro...
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09/19/2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Subpopulation shift wildly exists in many real-world machine learning ap...
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07/14/2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Detectingandsegmentingobjectswithinwholeslideimagesis essential in compu...
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07/05/2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Whole slide image (WSI) classification often relies on deep weakly super...
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06/15/2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction
Recently, deep neural networks have greatly advanced undersampled Magnet...
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04/14/2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Dense prediction in medical volume provides enriched guidance for clinic...
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02/18/2022
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Few-shot learning is an established topic in natural images for years, b...
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12/22/2021
Fusion of medical imaging and electronic health records with attention and multi-head machanisms
Doctors often make diagonostic decisions based on patient's image scans,...
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11/24/2020
Blind deblurring for microscopic pathology images using deep learning networks
Artificial Intelligence (AI)-powered pathology is a revolutionary step i...
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09/15/2020
Microscope Based HER2 Scoring System
The overexpression of human epidermal growth factor receptor 2 (HER2) ha...
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04/30/2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
The outbreak of novel coronavirus disease 2019 (COVID-19) has already in...
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02/23/2019
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Prognostic tumor growth modeling via medical imaging observations is a c...
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10/14/2018
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks
Fine-grained classification of cervical cells into different abnormality...
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01/25/2018
DeepPap: Deep Convolutional Networks for Cervical Cell Classification
Automation-assisted cervical screening via Pap smear or liquid-based cyt...
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01/25/2018
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
This paper reports Deep LOGISMOS approach to 3D tumor segmentation by in...
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01/25/2018
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation
Image segmentation is a fundamental problem in medical image analysis. I...
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01/25/2018
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction
Tumor growth is associated with cell invasion and mass-effect, which are...
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06/01/2017
Personalized Pancreatic Tumor Growth Prediction via Group Learning
Tumor growth prediction, a highly challenging task, has long been viewed...
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01/23/2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
The recent rapid and tremendous success of deep convolutional neural net...
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03/28/2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Despite the recent advances in automatically describing image contents, ...
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03/25/2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Obtaining semantic labels on a large scale radiology image database (215...
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02/10/2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Remarkable progress has been made in image recognition, primarily due to...
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02/01/2016
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases
Accurate spine segmentation allows for improved identification and quant...
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01/29/2016
Deep convolutional networks for automated detection of posterior-element fractures on spine CT
Injuries of the spine, and its posterior elements in particular, are a c...
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01/27/2016
Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT
Classification of vertebral compression fractures (VCF) having osteoporo...
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01/13/2016
Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT
The precise and accurate segmentation of the vertebral column is essenti...
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05/12/2015
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
Automated computer-aided detection (CADe) in medical imaging has been an...
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05/04/2015
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
Despite tremendous progress in computer vision, there has not been an at...
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04/15/2015
Anatomy-specific classification of medical images using deep convolutional nets
Automated classification of human anatomy is an important prerequisite f...
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07/22/2014
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications
Automated detection of sclerotic metastases (bone lesions) in Computed T...
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06/26/2011