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Face2Gene: Genetic Identity behind Deep Facial Features

Project: Research

Status	Finished
Effective start/end date	1/08/19 → 28/02/21

Funding

The Leverhulme Trust: £46,463.00

Jiang, Richard (Principal Investigator)

Activities

Deep Biometrics for Medical Applications
Activity: Talk or presentation types › Invited talk

Research outputs

Auto-diagnosis of COVID-19 using Lung CT Images with Semi-supervised Shallow Learning Network
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation
Research output: Contribution to Journal/Magazine › Journal article › peer-review
EBSRMF: Ensemble Based Similarity-Regularized Matrix Factorization to Predict Anticancer Drug Responses
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Delve into Neural Activations: Towards Understanding Dying Neurons
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Robust Brain Age Estimation based on sMRI via Nonlinear Age-Adaptive Ensemble Learning
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection
Research output: Contribution to Journal/Magazine › Journal article › peer-review
A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Hyper-Dense_Lung_Seg: Multimodal-Fusion-Based Modified U-Net for Lung Tumour Segmentation Using Multimodality of CT-PET Scans
Research output: Contribution to Journal/Magazine › Journal article › peer-review