Tong Tong
Orcid: 0000-0003-0636-7359Affiliations:
- 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 58 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Biomed. Signal Process. Control., February, 2024
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations.
CoRR, 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
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
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
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
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
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
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
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
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
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
Pattern Recognit., 2017
Pattern Recognit., 2017
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration.
NeuroImage, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
2015
Medical Image Anal., 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
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
PhD thesis, 2014
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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