Chong Wang

发表

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

G. Carneiro, J. Verjans, Chongjian Wang, 2022, MICCAI.

Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior

G. Carneiro, Chongjian Wang, Fengbei Liu, 2023, ArXiv.

Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning

G. Carneiro, Chongjian Wang, Fengbei Liu, 2023, ArXiv.

BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images

G. Carneiro, Zhiming Cui, Miaofei Han, 2022, IEEE Transactions on Medical Imaging.

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder

G. Carneiro, Rajvinder Singh, J. Verjans, 2022, MLMI@MICCAI.

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

G. Carneiro, Chongjian Wang, Fengbei Liu, 2022, 2203.01937.

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2021, MICCAI.

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification

Chong Wang, Shutao Li, Leyuan Fang, 2019, IEEE Transactions on Medical Imaging.

Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search.

Chong Wang, Shutao Li, Sina Farsiu, 2017, Biomedical optics express.

Automatic classification of retinal three-dimensional optical coherence tomography images using principal component analysis network with composite kernels

Chong Wang, Shutao Li, Leyuan Fang, 2017, Journal of biomedical optics.

Automatic Classification of Volumetric Optical Coherence Tomography Images via Recurrent Neural Network

Zhimin Liu, Chong Wang, Yuxuan Jin, 2020, Sensing and Imaging.

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations

Davis J. McCarthy, G. Carneiro, H. Frazer, 2023, ArXiv.

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

G. Carneiro, Fengbei Liu, Yuanhong Chen, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

AI integration improves breast cancer screening in a real-world, retrospective cohort study

P. Brotchie, H. Frazer, C. Kwok, 2022, medRxiv.

ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets

Osamah M. Al-Qershi, Davis J. McCarthy, Jennifer S. N. Tang, 2022, Radiology. Artificial intelligence.

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Davis J. McCarthy, G. Carneiro, H. Frazer, 2022, MICCAI.

A Closer Look at Audio-Visual Segmentation

G. Carneiro, Fengbei Liu, Yuanhong Chen, 2023, 2304.02970.

Translation Consistent Semi-supervised Segmentation for 3D Medical Images

G. Carneiro, Chongjian Wang, Vasileios Belagiannis, 2022, ArXiv.

BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations

Davis J. McCarthy, G. Carneiro, H. Frazer, 2023, arXiv.org.

An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning

Davis J. McCarthy, G. Carneiro, H. Frazer, 2023, IEEE Transactions on Medical Imaging.

Partial Label Supervision for Agnostic Generative Noisy Label Learning

G. Carneiro, Fengbei Liu, Yuanhong Chen, 2023, 2308.01184.

CPM: Class-conditional Prompting Machine for Audio-visual Segmentation

Yuanhong Chen, Yuyuan Liu, Chong Wang, 2024, ArXiv.