18 citations · 68 across the 15 of their papers we have counts for
15 papers
Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening
Lei Tong, Xujing Yao, Adam Corrigan +6
High-Content Screening routinely generates massive volumes of cell painting images for phenotypic profiling. However, technical variations across experimental executions inevitably…
BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching
Zhihua Liu, Lei Tong, Xilin He +4
Existed echocardiography segmentation methods often suffer from anatomical inconsistency challenge caused by shape variation, partial observation and region ambiguity with similar…
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
Zhihua Liu, Amrutha Saseendran, Lei Tong +8
Open-set image segmentation poses a significant challenge because existing methods often demand extensive training or fine-tuning and generally struggle to segment unified objects…
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images
Lei Tong, Adam Corrigan, Navin Rathna Kumar +4
Cell line authentication plays a crucial role in the biomedical field, ensuring researchers work with accurately identified cells. Supervised deep learning has made remarkable stri…
giMLPs: Gate with Inhibition Mechanism in MLPs
Cheng Kang, Jindich Prokop, Lei Tong +3
This paper presents a new model architecture, gate with inhibition MLP (giMLP).The gate with inhibition on CycleMLP (gi-CycleMLP) can produce equal performance on the ImageNet clas…
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within man…
Towards advancing the earthquake forecasting by machine learning of satellite data
Pan Xiong, Lei Tong, Kun Zhang +7
Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.…
Structured Context Enhancement Network for Mouse Pose Estimation
Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8
Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…
Perceptual underwater image enhancement with deep learning and physical priors
Long Chen, Zheheng Jiang, Lei Tong +5
Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater n…
Deep Learning Based Brain Tumor Segmentation: A Survey
Zhihua Liu, Lei Tong, Zheheng Jiang +6
Brain tumor segmentation is one of the most challenging problems in medical image analysis. The goal of brain tumor segmentation is to generate accurate delineation of brain tumor…
CANet: Context Aware Network for 3D Brain Glioma Segmentation
Zhihua Liu, Lei Tong, Long Chen +7
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have…
A Benchmark dataset for both underwater image enhancement and underwater object detection
Long Chen, Lei Tong, Feixiang Zhou +5
Underwater image enhancement is such an important vision task due to its significance in marine engineering and aquatic robot. It is usually work as a pre-processing step to improv…
Underwater object detection using Invert Multi-Class Adaboost with deep learning
Long Chen, Zhihua Liu, Lei Tong +4
In recent years, deep learning based methods have achieved promising performance in standard object detection. However, these methods lack sufficient capabilities to handle underwa…
Detection and Tracking of Multiple Mice Using Part Proposal Networks
Zheheng Jiang, Zhihua Liu, Long Chen +6
The study of mouse social behaviours has been increasingly undertaken in neuroscience research. However, automated quantification of mouse behaviours from the videos of interacting…
Cost-sensitive Boosting Pruning Trees for depression detection on Twitter
Lei Tong, Zhihua Liu, Zheheng Jiang +9
Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers usually do not consult…