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2020 – today
- 2024
[i5]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Darren Dancey:
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation. CoRR abs/2404.17335 (2024)- 2023
- [j11]Xin Zhang
, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A Novel Efficient Explainable Patch-Based Deep Learning Network for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Access 11: 108603-108616 (2023) - [j10]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White, Daoqiang Zhang:
CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics 27(2): 980-991 (2023) - [i4]Xin Zhang, Liangxiu Han, Lianghao Han, Haoming Chen, Darren Dancey, Daoqiang Zhang:
sMRI-PatchNet: A novel explainable patch-based deep learning network for Alzheimer's disease diagnosis and discriminative atrophy localisation with Structural MRI. CoRR abs/2302.08967 (2023) - 2022
- [j9]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j8]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - 2021
- [c10]Zhihao Dai, Zhong Li, Lianghao Han:
BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis. IDA 2021: 263-274 - [i3]Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina C. Dempsey-Hibbert, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White:
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images. CoRR abs/2110.10813 (2021) - [i2]Yue Shi, Liangxiu Han, Lianghao Han, Sheng Chang, Tongle Hu, Darren Dancey:
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution. CoRR abs/2111.08685 (2021) - 2020
- [j7]Xin Zhang, Liangxiu Han, Lianghao Han, Liang Zhu:
How Well Do Deep Learning-Based Methods for Land Cover Classification and Object Detection Perform on High Resolution Remote Sensing Imagery? Remote. Sens. 12(3): 417 (2020) - [i1]Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han:
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification. CoRR abs/2004.08886 (2020)
2010 – 2019
- 2019
- [j6]Xin Zhang, Liangxiu Han, Yingying Dong, Yue Shi, Wenjiang Huang, Lianghao Han, Pablo González-Moreno, Huiqin Ma, Huichun Ye, Tam Sobeih:
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images. Remote. Sens. 11(13): 1554 (2019) - 2018
- [c9]Pouyan Dinarvand, Liangxiu Han, Adam Coates, Lianghao Han:
Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. HPCC/SmartCity/DSS 2018: 1299-1304 - 2017
- [j5]Lianghao Han, Hua Dong, Jamie R. McClelland, Liangxiu Han, David J. Hawkes, Dean C. Barratt:
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. Medical Image Anal. 39: 87-100 (2017) - [c8]Liangxiu Han, Muhammad Salman Haleem, Tam Sobeih, Ying Liu, Anthony Soroka, Lianghao Han:
An Automated Cloud-Based Big Data Analytics Platform for Customer Insights. iThings/GreenCom/CPSCom/SmartData 2017: 287-292 - 2015
- [j4]Stian Flage Johnsen, Zeike A. Taylor, Matthew J. Clarkson, John H. Hipwell, Marc Modat, Björn Eiben, Lianghao Han, Yipeng Hu, Thomy Mertzanidou, David J. Hawkes, Sébastien Ourselin:
NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1077-1095 (2015) - [j3]Stian Flage Johnsen, Zeike A. Taylor, Lianghao Han, Yipeng Hu, Matthew J. Clarkson, David J. Hawkes, Sébastien Ourselin:
Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(11): 1873-1891 (2015) - 2014
- [j2]Thomy Mertzanidou, John H. Hipwell, Stian Flage Johnsen, Lianghao Han, Björn Eiben, Zeike A. Taylor, Sébastien Ourselin, Henkjan J. Huisman, Ritse Mann, Ulrich Bick, Nico Karssemeijer, David J. Hawkes:
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Anal. 18(4): 674-683 (2014) - [j1]Lianghao Han, John H. Hipwell, Björn Eiben, Dean C. Barratt, Marc Modat, Sébastien Ourselin, David J. Hawkes:
A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images. IEEE Trans. Medical Imaging 33(3): 682-694 (2014) - [c7]Lianghao Han, David J. Hawkes, Dean C. Barratt:
A hybrid biomechanical model-based image registration method for sliding objects. Medical Imaging: Image Processing 2014: 90340G - 2013
- [c6]Björn Eiben, Lianghao Han, John H. Hipwell, Thomy Mertzanidou, Sven Kabus, Thomas Bülow, Cristian Lorenz, Gillian Newstead, Hiroyuki Abe, Mohammed Keshtgar, Sébastien Ourselin, David J. Hawkes:
Biomechanically guided prone-to-supine image registration of breast MRI using an estimated reference state. ISBI 2013: 214-217 - 2012
- [c5]Thomy Mertzanidou, John H. Hipwell, Lianghao Han, Zeike A. Taylor, Henkjan J. Huisman, Ulrich Bick, Nico Karssemeijer, David J. Hawkes:
Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. Digital Mammography / IWDM 2012: 48-55 - 2011
- [c4]Lianghao Han, John H. Hipwell, Thomy Mertzanidou, Timothy J. Carter, Marc Modat, Sébastien Ourselin, David J. Hawkes:
A hybrid fem-based method for aligning prone and supine images for image guided breast surgery. ISBI 2011: 1239-1242 - 2010
- [c3]Lianghao Han, John H. Hipwell, Zeike A. Taylor, Christine Tanner, Sébastien Ourselin, David J. Hawkes:
Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method. Digital Mammography / IWDM 2010: 728-735
2000 – 2009
- 2002
- [c2]Lianghao Han, J. Alison Noble, Michael Burcher:
The elastic reconstruction of soft tissues. ISBI 2002: 1035-1038 - [c1]Lianghao Han, Michael Burcher, J. Alison Noble:
Non-invasive Measurement of Biomechanical Properties of in vivo Soft Tissues. MICCAI (1) 2002: 208-215
Coauthor Index
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