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Zongyuan Ge（戈宗元）– Papers
Conference Papers:
- Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding
SD Das, S Dutta, NA Shah, D Mahapatra, Z Ge
ISBI, 2022
- A Label Uncertainty-Guided Multi-Stream Model for Disease Screening
C Liu, Z Ge, M He, X Han
ISBI, 2022
- Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
W Dong, J Wu, Y Luo, Z Ge, P Wang
CVPR, 2022
- Implicit motion handling for video camouflaged object detection
X Cheng, H Xiong, DP Fan, Y Zhong, M Harandi and Z Ge
CVPR, 2022
- Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization
W Feng, L Wang, L Ju, X Zhao, X Wang, X Shi, Z Ge
MICCAI, 2022
- Camera Adaptation for Fundus-Image-Based CVD Risk Estimation
Z Lin, D Shi, D Zhang, X Shang, M He, Z Ge
MICCAI, 2022
- Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation
L Yang, D Mehta, D Mahapatra, Z Ge
MICCAI W, 2022
- Deep laparoscopic stereo matching with transformers
X Cheng, Y Zhong, M Harandi, T Drummond, Z Wang and Z Ge
MICCAI, 2022
- Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
Z Yu, T Nguyen, Y Gal, L Ju, SS Chandra, L Zhang and Z Ge
MICCAI, 2022
- Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images
D Mehta, Y Gal, A Bowling, P Bonnington, Z Ge
MICCAI, 2022
- MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers
Mahapatra, D. and Z Ge
Medical Imaging with Deep Learning, 2021
- Self-supervised multimodal generalized zero shot learning for gleason grading
Z Ge
MICCAI, 2021
- Continual domain incremental learning for chest x-ray classification in low-resource clinical settings
Srivastava, S., Yaqub, M., Nandakumar, K., Z Ge and Mahapatra, D
MICCAI, 2021
- Self-supervised learning of inter-label geometric relationships for gleason grade segmentation
Mahapatra, D., Kuanar, S., Bozorgtabar, B. and Z Ge
MICCAI, 2021
- End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers
Yu, Z., Mar, V., Eriksson, A., Chandra, S., Bonnington, P., Zhang, L. and Z Ge
MICCAI, 2021
- Retrospective Class Incremental Learning
Q Tao, CC Loy, J Cad, Z Ge, S See
ICME, 2021
- Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps
J Tong, D Mahapatra, P Bonnington, T Drummond, Z Ge
MICCAI, 2020
- Improve Unseen Domain Generalization via Enhanced Local Color Transformation
J Xiong, AW He, M Fu, X Hu, Y Zhang, C Liu, X Zhao, Z Ge
MICCAI, 2020
- Epileptic seizure detection using convolutional neural network: A multi-biosignal study
Y Liu, S Sivathamboo, P Goodin, P Bonnington, P Kwan, L Kuhlmann, ...
ACSWM, 2020
- Geometry-constrained car recognition using a 3D perspective network
R Zeng, Z Ge, S Denman, S Sridharan, C Fookes
AAAI, 2020
- Grounding visual concepts for zero-shot event detection and event captioning
Z Li, X Chang, L Yao, S Pan, Z Ge, H Zhang
KDD, 2020
- Robust early-learning: Hindering the memorization of noisy labels
X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang
ICLR, 2020
- Hierarchical Neural Architecture Search for Deep Stereo Matching
X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge
NeurIPS, 2020
- ZSTAD: Zero-Shot Temporal Activity Detection
L Zhang, X Chang, J Liu, M Luo, S Wang, Z Ge, A Hauptmann
CVPR, 2020
- Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
M Zhang, H Li, S Pan, X Chang, Z Ge, S Su
NeurIPS, 2020
- Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks
D Jakes, Z Ge, L Wu
IROS, 2019
- Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation
Z Ge*, Y Xing*, R Zeng, D Mahapatra, J Seah, M Law, T Drummond
MICCAI, 2019
- Training data independent image registration with gans using transfer learning and segmentation information
D Mahapatra, Z Ge
ISBI, 2019
- Retinal abnormalities recognition using regional multitask learning
X Wang, L Ju, X Zhao, Z Ge
MICCAI, 2019
- Improving deep lesion detection using 3D contextual and spatial attention
Q Tao, Z Ge, J Cai, J Yin, S See
MICCAI, 2019
- Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks
D Mahapatra, Z Ge, S Sedai, R Chakravorty
MICCAI, 2018
- Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images
S Sedai, D Mahapatra, Z Ge, R Chakravorty, R Garnavi
MICCAI, 2018
- Generative OpenMax for Multi-Class Open Set Classification
Z Ge, S Demyanov, Z Chen, R Garnavi
BMVC, 2017
- Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images
Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi
MICCAI, 2017
- Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging
Z Ge, S Demyanov, B Bozorgtabar, M Abedini, R Chakravorty, A Bowling, ...
ISBI, 2017
- Tree-loss function for training neural networks on weakly-labelled datasets
S Demyanov, R Chakravorty, Z Ge, SB Bozorgtabar, M Pablo, A Bowling, ...
ISBI, 2017
- Investigating deep side layers for skin lesion segmentation
B Bozorgtabar, Z Ge, R Chakravorty, M Abedini, S Demyanov, R Garnavi
ISBI, 2017
- Simple online and realtime tracking
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
ICIP, 2016
- Fine-grained classification via mixture of deep convolutional neural networks
ZY Ge, A Bewley, C McCool, P Corke, B Upcroft, C Sanderson
WACV, 2016
- Exploiting temporal information for DCNN-based fine-grained object classification
ZY Ge, C McCool, C Sanderson, P Wang, L Liu, I Reid, P Corke
DICTA Best Paper, 2016
- Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification.
C McCool, ZY Ge, PI Corke
CLEF Conference and Labs of the Evaluation Forum, 511-517, 2016
- Modelling local deep convolutional neural network features to improve fine-grained image classification
ZY Ge, C McCool, C Sanderson, P Corke
ICIP, 2015
- Subset feature learning for fine-grained category classification
ZY Ge, C McCool, C Sanderson, P Corke
CVPR, 2015
- Fine-grained bird species recognition via hierarchical subset learning
ZY Ge, C McCool, C Sanderson, A Bewley, Z Chen, P Corke
ICIP, 2015
- Distance metric learning for feature-agnostic place recognition
Z Chen, S Lowry, A Jacobson, Z Ge, M Milford
IROS, 2015
- Local inter-session variability modelling for object classification
K Anantharajah, ZY Ge, C McCool, S Denman, C Fookes, P Corke, ...
WACV, 2014
Journal Papers:
- Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank
X Shang, X Zhang, Y Huang, Z Zhu, X Zhang, S Liu and Z Ge
BMC medicine, 2022
- 3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography
L Wang, X Ye, D Zhang, W He, L Ju, Y Luo, H Luo and Z Ge
Computers in Biology and Medicine, 2022
- Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs
X Ren, W Feng, R Ran, Y Gao, Y Lin, X Fu, Y Tao, Z Ge, M Zhang
Nature Eye, 2022
- Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting
C Felmingham, Y Pan, Y Kok, J Kelly, D Gin, J Nguyen, ..., Z Ge, A., Haskett, M. and Wolfe, R
BMJ open, 2022
- Mutual consistency learning for semi-supervised medical image segmentation
Y Wu, Z Ge, D Zhang, M Xu, L Zhang, Y Xia, J Cai
Medical Image Analysis, 2022
- Association of type 1 diabetes and age at diagnosis of type 2 diabetes with brain volume and risk of dementia in the UK Biobank: A prospective cohort study of community‐dwelling participants
X Shang, E Hill, J Liu, Z Zhu, Z Ge, W Wang, M He
Diabetic Medicine, 2022
- Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy
H Hakeem, W Feng, Z Chen, J Choong, MJ Brodie, ..., Z Ge, P Kwan
JAMA neurology, 2022
- Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study
X Xu, Z Yu, Z Ge, EPF Chow, Y Bao, JJ Ong, W Li, J Wu L Zhang
Journal of Medical Internet Research, 2022
- Pseudo-pair based self-similarity learning for unsupervised person re-identification
L Wu, D Liu, W Zhang, D Chen, Z Ge, F Boussaid
IEEE Transactions on Image Processing, 2022
- RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins
X Peng, X Wang, Y Guo, Z Ge, F Li, X Gao, J Song
Briefings in Bioinformatics, 2022
- Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases
L Dong, W He, R Zhang, Z Ge, YX Wang, J Zhou, J Xu and Y Xie
JAMA Network Open, 2022
- Assessing generalisability of deep learning models trained on standardised and non-standardised images
I Oloruntoba, T Vestergaard, TD Nguyen, Z Ge, V Mar
Australasian Journal of Dermatology, 2022
- Association of a wide range of individual chronic diseases and their multimorbidity with brain volumes in the UK Biobank: A cross-sectional study
X Shang, X Zhang, Y Huang, Z Zhu, X Zhang, J Liu, Z Ge and X Yang
EClinicalMedicine, 2022
- Self-Supervised Generalized Zero Shot Learning For Medical Image Classification Using Novel Interpretable Saliency Maps
D Mahapatra, Z Ge, M Reyes
IEEE Transactions on Medical Imaging, 2022
- A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months
X Xu, Z Ge, EPF Chow, Z Yu, D Lee, J Wu, JJ Ong and L Zhang
Journal of clinical medicine, 2022
- Association of a wide range of chronic diseases and apolipoprotein E4 genotype with subsequent risk of dementia in community-dwelling adults: A retrospective cohort study
X Shang, Z Zhu, X Zhang, Y Huang, X Zhang, J Liu…Z Ge and X Yang
EClinicalMedicine, 2022
- ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning
X Wang, F Li, J Xu, J Rong, GI Webb, Z Ge, J Li, J Song
Briefings in Bioinformatics, 2022
- Retinal age gap as a predictive biomarker for mortality risk
Z Zhu, D Shi, P Guankai, Z Tan, X Shang, W Hu, H Liao, Z Ge, ... and M He
British Journal of Ophthalmology, 2022
- Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation
L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou and Z Ge
IEEE transactions on medical imaging, 2022
- Artificial Intelligence Model for Antiinterference Cataract Automatic Diagnosis: A Diagnostic Accuracy Study
X Wu, D Xu, T Ma, ZH Li, Z Ge, F Wang, XY Gao…
Frontiers in Cell and Developmental Biology, 2022
- An Intelligent Diagnostic System for Thyroid-Associated Ophthalmopathy Based on Facial Images
X Huang, L Ju, J Li, L He, F Tong, S Liu, P Li, Y Zha, ..., Z Ge, ... R Wei
Frontiers in Medicine, 2022
- Generative Metric Learning for Adversarially Robust Open-World Person Re-Identification
D Liu, L Wu, R Hong, Z Ge, J Shen, F Boussaid…
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022
- A Deep Learning System for Fully Automated Retinal Vessel Measurement in High Throughput Image Analysis
D Shi, Z Lin, W Wang, Z Tan, X Shang, X Zhang, ... ,Z Ge and M.He
Frontiers in cardiovascular medicine, 2022
- Improving Skin cancer Management with ARTificial Intelligence (SMARTI): protocol for a preintervention/postintervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a specialist dermatology setting
C Felmingham, S MacNamara, W Cranwell, N Williams … Z Ge, ..., V Mar
BMJ open, 2022
- Macronutrient Intake and Risk of Dementia in Community-Dwelling Older Adults: A Nine-Year Follow-Up Cohort Study
X Shang, E Hill, Z Zhu, J Liu, Z Ge, W Wang, M He
Journal of Alzheimer's Disease, 2022
- Adiposity by Differing Measures and the Risk of Cataract in the UK Biobank
X Shang, Z Zhu, X Zhang, Y Huang, Z Tan, W Wang … Z Ge, Shi, D., Jiang, Y. and Yang, X
Investigative ophthalmology & visual science, 2022
- The association of age at diagnosis of hypertension with brain structure and incident dementia in the UK Biobank
X Shang, E Hill, Z Zhu, J Liu, Z Ge, W Wang, M He
Hypertension, 2022
- Contextual ensemble network for semantic segmentation
Q Zhou, X Wu, S Zhang, B Kang, Z Ge, LJ Latecki
Pattern Recognition, 2022
- Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China
Y Ma, J Xiong, Y Zhu, Z Ge, R Hua, M Fu, C Li, B Wang…
Science bulletin, 67(1), pp.17-20., 2022
- Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models
Zhang, X., Zhang, D., Leye, A., Scott, A., Visser, L., Z Ge and Bonnington, P
Sensors, 2021
- Generalisability of Deep Learning Models Trained on Standardised and Non-Standardised Images: Retrospective Comparative Study
Oloruntoba, I., Vestergaard, T., Nguyen, T.D., Yu, Z., Sashindranath, M., Betz-Stablein, B., Soyer, H.P., Z Ge and Mar, V
JMIR Dermatology, 5(3), p.e35150, 2021
- Zeronas: Differentiable generative adversarial networks search for zero-shot learning
Yan, C., Chang, X., Li, Z., Guan, W., Z Ge, Zhu, L. and Zheng, Q
IEEE transactions on pattern analysis and machine intelligence, 2021
- OCTID: a one-class learning-based Python package for tumor image detection
Wang, Y., Yang, L., Webb, G.I., Z Ge and Song, J
Bioinformatics, 37(21), pp.3986-3988., 2021
- Machine learning based prediction model for initial antiseizure medication selection in newly diagnosed epilepsy
Hakeem, H., Choong, J., Chen, Z., Brodie, M., Lawn, N., Z Ge and Kwan, P
EPILEPSIA, 2021
- Early Melanoma Diagnosis with Sequential Dermoscopic Images
Yu, Z., Nguyen, J., Nguyen, T.D., Kelly, J., Mclean, C., Bonnington, P., Zhang, L., Mar, V. and Z Ge
IEEE Transactions on Medical Imaging, 41(3), pp.633-646., 2021
- Machine learning models for decision support in epilepsy management: A critical review
Smolyansky, E.D., Hakeem, H., Z Ge, Chen, Z. and Kwan, P.
Epilepsy & Behavior, 123, p.108273., 2021
- Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction
Shen, Y., Wang, L., Jian, W., Shang, J., Wang, X., Ju, L., Li, M., Zhao, J., Chen, X., Z Ge and Wang, X.
British Journal of Ophthalmology, 2021
- Incremental learning for exudate and hemorrhage segmentation on fundus images
He, W., Wang, X., Wang, L., Huang, Y., Yang, Z., Yao, X., Zhao, X., Ju, L., Wu, L., Wu, L. and Lu, H., Z Ge
Information Fusion, 73, pp.157-164., 2021
- Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
D Lin, J Xiong, C Liu, L Zhao, Z Li, S Yu, X Wu, Z Ge, X Hu, B Wang, M Fu, ...
The Lancet Digital Health 3 (8), e486-e495, 2021
- OCTID: a one-class learning-based Python package for tumor image detection
Y Wang, L Yang, GI Webb, Z Ge, J Song
Bioinformatics, 2021
- Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
W Feng, L Ju, L Wang, K Song, X Wang, X Zhao, Q Tao, Z Ge
MIA under review, 2021
- One step closer towards personalized epilepsy management
Z Chen, A Anderson, Z Ge, P Kwan
Brain, 2021
- Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning
L Zhang, S Wang, X Chang, J Liu, Z Ge, Q Zheng
IEEE Transactions on Circuits and Systems for Video Technology, 2021
- Deep Learning-Based Estimation of Axial Length and Subfoveal Choroidal Thickness From Color Fundus Photographs
L Dong, XY Hu, YN Yan, Q Zhang, N Zhou, L Shao, YX Wang, J Xu, ...
Frontiers in Cell and Developmental Biology 9, 720, 2021
- Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Y Wu, M Xu, Z Ge, J Cai, L Zhang
TMI under review, 2021
- Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
L Ju, X Wang, X Zhao, P Bonnington, T Drummond, Z Ge
IEEE Transactions on Medical Imaging, 2021
- Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-task Learning
L Ju, X Wang, X Zhao, H Lu, D Mahapatra, P Bonnington, Z Ge
IEEE Journal of Biomedical and Health Informatics, 2021
- Development and validation of a deep learning algorithm using fundus photographs to predict 10-year risk of ischemic cardiovascular diseases among Chinese population
Y Ma, J Xiong, Y Zhu, Z Ge, R Hua, M Fu, C Li, B Wang, L Dong, X Zhao, ...
medRxiv, 2021
- Predicting the diagnosis of HIV and sexually transmitted infections among men who have sex with men using machine learning approaches
Y Bao, NA Medland, CK Fairley, J Wu, X Shang, EPF Chow, X Xu, Z Ge, ...
Journal of Infection 82 (1), 48-59, 2021
- Improving medical image classification with label noise using dual-uncertainty estimation
L Ju, X Wang, L Wang, D Mahapatra, X Zhao, M Harandi, T Drummond, ...
TMI under reivew, 2021
- Incremental learning for exudate and hemorrhage segmentation on fundus images
W He, X Wang, L Wang, Y Huang, Z Yang, X Yao, X Zhao, L Ju, L Wu, ...
Information Fusion 73, 157-164, 2021
- The importance of incorporating human factors in the design and implementation of artificial intelligence for skin cancer diagnosis in the real world
CM Felmingham, NR Adler, Z Ge, RL Morton, M Janda, VJ Mar
American journal of clinical dermatology 22 (2), 233-242, 2021
- 眼科人工智能的算法新进展
戈宗元， 贺婉佶， 琚烈， 姚轩， 王璘， 黄烨霖， 杨志文， 熊健皓， 包怡宁， ...
山东大学学报 (医学版) 58 (11), 17-23, 2020
- Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection
M Ma, S Mei, S Wan, Z Wang, Z Ge, V Lam, D Feng
IEEE Journal of Biomedical and Health Informatics 25 (5), 1686-1698, 2020
- Construction of an Assistant Forecast System for Breast Cancer Oncotype DX Recurrence Risk by Machine Learning
X KONG, L Zhang, Q Zhang, J Choong, S Ma, X Qin, Z Qi, R Cheng, ...
Available at SSRN 3642585, 2020
- Application of transformers for predicting epilepsy treatment response
JH Choong, H Hakeem, Z Chen, M Brodie, N Lawn, T Drummond, P Kwan, ...
medRxiv, 2020
- Brain Health: New era of personalised epilepsy management
Z Chen, B Rollo, A Antonic-Baker, A Anderson, Y Ma, TJ O’Brien, Z Ge, ...
The BMJ 371, 2020
- Use of artificial intelligence in skin cancer diagnosis and management
M Wada, ZY Ge, SJ Gilmore, VJ Mar
Medical Journal of Australia 213 (6), 256-259. e1, 2020
- Melanoma diagnosis with spatio-temporal feature learning on sequential dermoscopic images
Z Yu, J Nguyen, X Chang, J Kelly, C Mclean, L Zhang, V Mar, Z Ge
TMI under review, 2020
- One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
M Zhang, H Li, S Pan, X Chang, C Zhou, Z Ge, SW Su
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-1, 2020
- Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework
F Li*, J Chen*, Z Ge*, Y Wen, Y Yue, M Hayashida, A Baggag, H Bensmail, ...
Briefings in Bioinformatics, 2020
- An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP
Y Bi*, D Xiang*, Z Ge*, F Li, C Jia, J Song
Molecular Therapy-Nucleic Acids, 2020
- Skin lesion segmentation via generative adversarial networks with dual discriminators
B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang
Medical Image Analysis 64, 101716, 2020
- PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins
Y Zhang, S Yu, R Xie, J Li, A Leier, TT Marquez-Lago, T Akutsu, AI Smith, ...
Bioinformatics 36 (3), 704-712, 2020
- Training data independent image registration using generative adversarial networks and domain adaptation
D Mahapatra, Z Ge
Pattern Recognition 100, 107109, 2020
- New era of personalised epilepsy management
Z Chen, B Rollo, A Antonic-Baker, A Anderson, Y Ma, TJ O’Brien, Z Ge, ...
British Medical Journal (The BMJ) 371, 2020
- Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies
Z Ge, D Mahapatra, X Chang, Z Chen, L Chi, H Lu
Multimedia Tools and Applications, 1-14, 2019
- Knowledge driven temporal activity localization
C Li, Z Li, Z Ge, M Li
Journal of Visual Communication and Image Representation 64, 102628, 2019
- Mining Knowledge Graphs for Vision Tasks
X Chang, F Zhu, X Bi, W Guan, Z Ge, M Luo
Database Systems for Advanced Applications 2019, 592-594, 2019
- 3D Unet-based Kidney and Kidney Tumer Segmentation with Attentive Feature Learning
Q Tao, Z Wu, I Cheong, J Yang, Z Ge, G Lin, J Cai
University of Minnesota Libraries Publishing, 2019
- Combining transfer learning and segmentation information with GANs for training data independent image registration
D Mahapatra, Z Ge
arXiv preprint arXiv:1903.10139 103, 2019
- Underwater image high definition display using the multilayer perceptron and color feature-based srcnn
Y Li, C Ma, T Zhang, J Li, Z Ge, Y Li, S Serikawa
IEEE Access 7, 83721-83728, 2019
- Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification
Z Ge*, Y Gu*, CP Bonnington, J Zhou
IEEE journal of biomedical and health informatics, 2019
- EEG emotion recognition based on graph regularized sparse linear regression
Y Li, W Zheng, Z Cui, Y Zong, S Ge
Neural Processing Letters 49 (2), 555-571, 2019
- A Universal Artificial Intelligence Platform for Collaborative Management of Cataracts
X Wu, Z Liu, W Lai, E Long, K Zhang, J Jiang, D Lin, K Chen, T Yu, D Wu, ...
British Journal of Ophthalmology, 2019
- FDCNet: filtering deep convolutional network for marine organism classification
H Lu, Y Li, T Uemura, Z Ge, X Xu, L He, S Serikawa, H Kim
Multimedia tools and applications 77 (17), 21847-21860, 2018
- Learning context flexible attention model for long-term visual place recognition
Z Chen, L Liu, I Sa, Z Ge, M Chli
IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018
- Artificial intelligence for mobile robotic networks
H Lu, L He, Q Zhou, Z Ge
Mobile Networks and Applications 23 (2), 326-327, 2018
- Structured deep hashing with convolutional neural networks for fast person re-identification
L Wu, Y Wang, Z Ge, Q Hu, X Li
Computer Vision and Image Understanding 167, 63-73, 2018
- Chest X-rays classification: A multi-label and fine-grained problem
Z Ge, D Mahapatra, S Sedai, R Garnavi, R Chakravorty
arXiv preprint arXiv:1807.07247, 2018
- Sim-to-real transfer of visuo-motor policies for reaching in clutter: Domain randomization and adaptation with modular networks
F Zhang, J Leitner, Z Ge, M Milford, P Corke
The International Journal of Robotics Research (IJRR) 7 (8), 2017
- Robust fine-grained image classification
Z Ge
Queensland University of Technology, 2017
- Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
sensors 16 (8), 1222, 2016
- Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
sensors 16 (8), 1222, 2016
- Content specific feature learning for fine-grained plant classification
ZY Ge, C McCool, C Sanderson, P Corke
Rheinisch-Westfaelische Technische Hochschule Aachen* Lehrstuhl Informatik V, 2015
- Computational and statistical methods for analysing big data with applications
S Liu, J McGree, Z Ge, Y Xie
Academic Press, 2015
Patent:
- Cognitive screening for prohibited items across multiple checkpoints by using context aware spatio-temporal analysis
M Abedini, R Chakravorty, R Garnavi, Z Ge
US Patent App. 17/184,943, 2021
- Cognitive screening for prohibited items across multiple checkpoints by using context aware spatio-temporal analysis
M Abedini, R Chakravorty, R Garnavi, Z Ge
US Patent 10,977,755, 2021
- Joint registration and segmentation of images using deep learning
R Garnavi, Z Ge, D Mahapatra, S Sedai
US Patent 10,726,555, 2020
- Automated skin lesion segmentation using deep side layers
M Abedini, SB Bozorgtabar, R Chakravorty, S Demyanov, R Garnavi, Z Ge
US Patent 10,373,312, 2019
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