Tong Tong

Orcid: 0000-0003-0636-7359

Affiliations:
  • Imperial College London, Biomedical Image Analysis Group, UK
  • Harvard Medical School, Laboratory for Computational Neuroimaging, Charlestown, MA, USA


According to our database1, Tong Tong authored at least 82 papers between 2011 and 2024.

Collaborative distances:

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Bibliography

2024
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation.
Biomed. Signal Process. Control., February, 2024

ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation.
Virtual Real. Intell. Hardw., 2024

Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information.
Expert Syst. Appl., 2024

Two-stage image colorization via color codebook.
Expert Syst. Appl., 2024

WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal.
Digit. Signal Process., 2024

DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution.
CoRR, 2024

ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution.
CoRR, 2024

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey.
CoRR, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
CoRR, 2024

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations.
CoRR, 2024

Distance guided generative adversarial network for explainable medical image classifications.
Comput. Medical Imaging Graph., 2024

DEUNet: Dual-encoder UNet for simultaneous denoising and reconstruction of single HDR image.
Comput. Graph., 2024

A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma.
Biomed. Signal Process. Control., 2024

TransPBMIL: Transformer-Based Weakly Supervised Prognostic Prediction in Ovarian Cancer with Pseudo-Bag Strategy.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Saliency Detection Based on a Novel Color Channel Volume and Background Likelihood Weight.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

MDIINet: A Few-Shot Semantic Segmentation Network by Exploiting Multi-dimensional Information Interaction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications.
Proceedings of the IEEE International Conference on Acoustics, 2024



NTIRE 2024 Image Shadow Removal Challenge Report.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


2023
Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning.
Biomed. Signal Process. Control., September, 2023

LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results.
Displays, July, 2023

CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation.
IEEE J. Biomed. Health Informatics, May, 2023

Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation.
Comput. Biol. Medicine, March, 2023

Distance Guided Generative Adversarial Network for Explainable Binary Classifications.
CoRR, 2023

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information.
CoRR, 2023

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.
CoRR, 2023

Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.
CoRR, 2023

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation.
CoRR, 2023

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification.
CoRR, 2023

A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images.
Biomed. Signal Process. Control., 2023

DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis.
Proceedings of the Research in Computational Molecular Biology, 2023

PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

RPUC: Semi-supervised 3D Biomedical Image Segmentation Through Rectified Pyramid Unsupervised Consistency.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dual-Encoder Unet for Single Image HDR Reconstruction with Denoising.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Medical Image Segmentation and Saliency Detection Through a Novel Color Contextual Extractor.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis.
Inf. Sci., 2022

A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation.
Comput. Methods Programs Biomed., 2022

BSG-Net: A Blind Super-resolution Guided Network for Improving Ultrasound Image Segmentation.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

SG-Net: A Super-resolution Guided Network for Improving Thyroid Nodule Segmentation.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data.
Comput. Biol. Medicine, 2021

Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual.
IEEE Access, 2021

Graph Reasoning-Based Emotion Recognition Network.
IEEE Access, 2021

Multi-angle Dual-task Consistency for Semi-Supervised Medical Image Segmentation.
Proceedings of the ICIT 2021: IoT and Smart City, Guangzhou, China, December 22 - 25, 2021, 2021

Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images.
Proceedings of the ICBSP 2021: 6th International Conference on Biomedical Imaging, Signal Processing, Xiamen, China, October 29, 2021

2020
Compact StereoNet: Stereo Disparity Estimation via Knowledge Distillation and Compact Feature Extractor.
IEEE Access, 2020

Guided Frequency Separation Network for Real-World Super-Resolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Stain Style Transfer Using Transitive Adversarial Networks.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018


Image Super-Resolution Using Knowledge Distillation.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion.
Pattern Recognit., 2017

Supervoxel classification forests for estimating pairwise image correspondences.
Pattern Recognit., 2017

Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.
NeuroImage, 2017

Image Super-Resolution Using Dense Skip Connections.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage, 2016

2015
Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 2015

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.
Proceedings of the Information Processing in Medical Imaging, 2015

Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Patch-based image analysis : application to segmentation and disease classification.
PhD thesis, 2014

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images.
IEEE Trans. Medical Imaging, 2013

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage, 2013

Multiple Instance Learning for Classification of Dementia in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Multi-atlas based neointima segmentation in intravascular coronary OCT.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

2011
A Study on Bag of Gaussian Model with Application to Voice Conversion.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011


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