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2022 Journal Article Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN ruleEllethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2022). Deep neural networks predict the need for CT in pediatric mild traumatic brain injury: a corroboration of the PECARN rule. Journal of the American College of Radiology, 19 (6), 769-778. doi: 10.1016/j.jacr.2022.02.024 |
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2022 Journal Article Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapyBugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated 3D analysis of clinical magnetic resonance images demonstrates significant reductions in cam morphology following arthroscopic intervention in contrast to physiotherapy. Arthroscopy, Sports Medicine, and Rehabilitation, 4 (4), e1353-e1362. doi: 10.1016/j.asmr.2022.04.020 |
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2022 Conference Publication FDGATII: Fast Dynamic Graph Attention with Initial Residual and IdentityKulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6 |
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2022 Journal Article Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance imagesBugeja, Jessica M., Xia, Ying, Chandra, Shekhar S., Murphy, Nicholas J., Eyles, Jillian, Spiers, Libby, Crozier, Stuart, Hunter, David J., Fripp, Jurgen and Engstrom, Craig (2022). Automated volumetric and statistical shape assessment of cam-type morphology of the femoral head-neck region from clinical 3D magnetic resonance images. Quantitative Imaging in Medicine and Surgery, 12 (10), 4941. doi: 10.21037/qims-22-332 |
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2022 Conference Publication Anomaly-aware 3D segmentation of knee magnetic resonance imagesWoo, Boyeong, Engstrom, Craig, Fripp, Jurgen, Crozier, Stuart and Chandra, Shekhar S. (2022). Anomaly-aware 3D segmentation of knee magnetic resonance images. 5th International Conference on Medical Imaging with Deep Learning, Zurich, Switzerland, 6-8 July 2022. Cambridge, MA United States: ML Research Press. |
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2022 Conference Publication Undersampled MRI reconstruction with side information-guided normalisationLiu, Xinwen, Wang, Jing, Peng, Cheng, Chandra, Shekhar S., Liu, Feng and Zhou, S. Kevin (2022). Undersampled MRI reconstruction with side information-guided normalisation. Medical Image Computing and Computer Assisted Intervention – MICCAI, Singapore, Singapore, 18-22 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-16446-0_31 |
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2021 Conference Publication Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanomaNaranpanawa, D. Nathasha U., Gu, Yanyang, Chandra, Shekhar S., Betz-Stablein, Brigid, Sturm, Richard A., Soyer, H. Peter and Eriksson, Anders P. (2021). Slim-YOLO: a simplified object detection model for the detection of pigmented iris freckles as a potential biomarker for cutaneous melanoma. Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, Australia, 29 November - 1 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/dicta52665.2021.9647150 |
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2021 Journal Article Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinationsBugeja, Jessica M., Chandra, Shekhar S., Neubert, Aleš, Fripp, Jurgen, Lockard, Carly A., Ho, Charles P., Crozier, Stuart and Engstrom, Craig (2021). Automated analysis of immediate reliability of T2 and T2* relaxation times of hip joint cartilage from 3 T MR examinations. Magnetic Resonance Imaging, 82, 42-54. doi: 10.1016/j.mri.2021.06.008 |
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2021 Journal Article Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transformWhite, Jacob Michael, Crozier, Stuart and Chandra, Shekhar Suresh (2021). Bespoke fractal sampling patterns for discrete Fourier space via the kaleidoscope transform. IEEE Signal Processing Letters, 14 (8), 1-5. doi: 10.1109/lsp.2021.3116510 |
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2021 Journal Article The detection of mild traumatic brain injury in paediatrics using artificial neural networksEllethy, Hanem, Chandra, Shekhar S. and Nasrallah, Fatima A. (2021). The detection of mild traumatic brain injury in paediatrics using artificial neural networks. Computers in Biology and Medicine, 135 104614, 1-9. doi: 10.1016/j.compbiomed.2021.104614 |
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2021 Journal Article Deep learning in magnetic resonance image reconstructionChandra, Shekhar S., Bran Lorenzana, Marlon, Liu, Xinwen, Liu, Siyu, Bollmann, Steffen and Crozier, Stuart (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology, 65 (5) 1754-9485.13276, 564-577. doi: 10.1111/1754-9485.13276 |
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2021 Conference Publication Can3d: Fast 3D knee mri segmentation via compact context aggregationDai, Wei, Woo, Boyeong, Liu, Siyu, Marques, Matthew, Tang, Fangfang, Crozier, Stuart, Engstrom, Craig and Chandra, Shekhar (2021). Can3d: Fast 3D knee mri segmentation via compact context aggregation. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/isbi48211.2021.9433784 |
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2021 Journal Article On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networksLiu, Xinwen, Wang, Jing, Sun, Hongfu, Chandra, Shekhar S, Crozier, Stuart and Liu, Feng (2021). On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks. Magnetic resonance imaging, 77, 159-168. doi: 10.1016/j.mri.2020.12.019 |
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2021 Journal Article Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gaitLi, Mao, Venäläinen, Mikko S., Chandra, Shekhar S., Patel, Rushabh, Fripp, Jurgen, Engstrom, Craig, Korhonen, Rami K., Töyräs, Juha and Crozier, Stuart (2021). Discrete element and finite element methods provide similar estimations for hip joint contact mechanics during walking gait. Journal of Biomechanics, 115 110163, 1-11. doi: 10.1016/j.jbiomech.2020.110163 |
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2021 Journal Article The application of statistical shape modeling for lung morphology in aerosol inhalation dosimetryXi, Jinxiang, Talaat, Mohamed, Si, Xiuhua April and Chandra, Shekhar (2021). The application of statistical shape modeling for lung morphology in aerosol inhalation dosimetry. Journal of Aerosol Science, 151 105623, 105623. doi: 10.1016/j.jaerosci.2020.105623 |
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2021 Conference Publication End-to-end ugly duckling sign detection for melanoma identification with transformersYu, Zhen, Mar, Victoria, Eriksson, Anders, Chandra, Shakes, Bonnington, Paul, Zhang, Lei and Ge, Zongyuan (2021). End-to-end ugly duckling sign detection for melanoma identification with transformers. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Strasbourg, France, 27 September-1 October 2021. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-87234-2_17 |
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2020 Journal Article Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRIMin, Hang, McClymont, Darryl, Chandra, Shekhar S., Crozier, Stuart and Bradley, Andrew P. (2020). Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. Biomedical Physics and Engineering Express, 6 (6) 065027, 065027. doi: 10.1088/2057-1976/abc45c |
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2020 Journal Article Fast geometric distortion correction using a deep neural network: implementation for the 1 Tesla MRI-Linac systemLi, Mao, Shan, Shanshan, Chandra, Shekhar S., Liu, Feng and Crozier, Stuart (2020). Fast geometric distortion correction using a deep neural network: implementation for the 1 Tesla MRI-Linac system. Medical Physics, 47 (9) mp.14382, 4303-4315. doi: 10.1002/mp.14382 |
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2020 Conference Publication Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRILiu, Xinwen, Wang, Jing, Tang, Fangfang, Chandra, Shekhar S., Liu, Feng and Crozier, Stuart (2020). Deep simultaneous optimization of sampling and reconstruction for multi-contrast MRI. ISMRM & SMRT Virtual Conference & Exhibition, 2020, Online, 8-14 August 2020. |
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2020 Journal Article Simultaneous super-resolution and contrast synthesis of routine clinical magnetic resonance images of the knee for improving automatic segmentation of joint cartilage: data from the Osteoarthritis InitiativeNeubert, Aleš, Bourgeat, Pierrick, Wood, Jason, Engstrom, Craig, Chandra, Shekhar S., Crozier, Stuart and Fripp, Jurgen (2020). Simultaneous super-resolution and contrast synthesis of routine clinical magnetic resonance images of the knee for improving automatic segmentation of joint cartilage: data from the Osteoarthritis Initiative. Medical Physics, 47 (10) mp.14421, 4939-4948. doi: 10.1002/mp.14421 |
