Select Publications

Journal articles

Gharleghi R; Chen N; Sowmya A; Beier S, 2022, 'Towards automated coronary artery segmentation: A systematic review', Computer Methods and Programs in Biomedicine, 225, pp. 107015, http://dx.doi.org/10.1016/j.cmpb.2022.107015

Gharleghi R; Sowmya A; Beier S, 2022, 'Transient wall shear stress estimation in coronary bifurcations using convolutional neural networks', Computer Methods and Programs in Biomedicine, 225, pp. 107013, http://dx.doi.org/10.1016/j.cmpb.2022.107013

Vijayan A; Fatima S; Sowmya A; Vafaee F, 2022, 'Blood-based transcriptomic signature panel identification for cancer diagnosis: Benchmarking of feature extraction methods', Briefings in Bioinformatics, 23, http://dx.doi.org/10.1093/bib/bbac315

Wang M; Sun C; Sowmya A, 2022, 'Complex shearlets and rotary phase congruence tensor for corner detection', Pattern Recognition, 128, http://dx.doi.org/10.1016/j.patcog.2022.108606

Adikari D; Gharleghi R; Zhang S; Jorm L; Sowmya A; Moses D; Ooi SY; Beier S, 2022, 'A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study', BMJ Open, 12, pp. e054881, http://dx.doi.org/10.1136/bmjopen-2021-054881

Buratti Y; Sowmya A; Dumbrell R; Dwivedi P; Trupke T; Hameiri Z, 2022, 'Automated efficiency loss analysis by luminescence image reconstruction using generative adversarial networks', Joule, 6, pp. 1320 - 1332, http://dx.doi.org/10.1016/j.joule.2022.05.001

Li X; Onie S; Liang M; Larsen M; Sowmya A, 2022, 'Towards Building a Visual Behaviour Analysis Pipeline for Suicide Detection and Prevention', Sensors, 22, http://dx.doi.org/10.3390/s22124488

Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2022, 'Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning', Biomedical Physics and Engineering Express, 8, http://dx.doi.org/10.1088/2057-1976/ac64c5

Wang M; Sun C; Sowmya A, 2022, 'Efficient corner detection based on corner enhancement filters', Digital Signal Processing A Review Journal, 122, http://dx.doi.org/10.1016/j.dsp.2021.103364

Gharleghi R; Adikari D; Ellenberger K; Ooi SY; Ellis C; Chen CM; Gao R; He Y; Hussain R; Lee CY; Li J; Ma J; Nie Z; Oliveira B; Qi Y; Skandarani Y; Vilaça JL; Wang X; Yang S; Sowmya A; Beier S, 2022, 'Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge', Computerized Medical Imaging and Graphics, 97, pp. 102049, http://dx.doi.org/10.1016/j.compmedimag.2022.102049

Buratti Y; Sowmya A; Evans R; Trupke T; Hameiri Z, 2022, 'Half and full solar cell efficiency binning by deep learning on electroluminescence images', Progress in Photovoltaics: research and applications, 30, pp. 276 - 287, http://dx.doi.org/10.1002/pip.3484

Ghaffari M; Samarasinghe G; Jameson M; Aly F; Holloway L; Chlap P; Koh ES; Sowmya A; Oliver R, 2022, 'Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images', Magnetic Resonance Imaging, 86, pp. 28 - 36, http://dx.doi.org/10.1016/j.mri.2021.10.012

Pang S; Field M; Dowling J; Vinod S; Holloway L; Sowmya A, 2022, 'Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings', Artificial Intelligence in Medicine, 123, pp. 102230, http://dx.doi.org/10.1016/j.artmed.2021.102230

Aldausari N; Sowmya A; Marcus N; Mohammadi G, 2022, 'Video Generative Adversarial Networks: A Review', ACM Computing Surveys

Rana P; Sowmya A; Meijering E; Song Y, 2021, 'Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-82985-9

Samarasinghe G; Jameson M; Vinod S; Field M; Dowling J; Sowmya A; Holloway L, 2021, 'Deep learning for segmentation in radiation therapy planning: a review', Journal of Medical Imaging and Radiation Oncology, 65, pp. 578 - 595, http://dx.doi.org/10.1111/1754-9485.13286

Arslan J; Samarasinghe G; Sowmya A; Benke KK; Hodgson LAB; Guymer RH; Baird PN, 2021, 'Deep learning applied to automated segmentation of geographic atrophy in fundus autofluorescence images', Translational Vision Science and Technology, 10, http://dx.doi.org/10.1167/tvst.10.8.2

Zhou F; Luo S; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2021, 'Efficient EM-variational inference for nonparametric Hawkes process', Statistics and Computing, 31, http://dx.doi.org/10.1007/s11222-021-10021-x

Wang G; Sun C; Sowmya A, 2021, 'Context-Enhanced Representation Learning for Single Image Deraining', International Journal of Computer Vision, 129, pp. 1650 - 1674, http://dx.doi.org/10.1007/s11263-020-01425-9

Arslan J; Benke KK; Samarasinghe G; Sowmya A; Guymer RH; Baird PN, 2021, 'Model structure uncertainty in the characterization and growth of geographic atrophy', Translational Vision Science and Technology, 10, http://dx.doi.org/10.1167/tvst.10.6.2

Onie S; Li X; Liang M; Sowmya A; Larsen ME, 2021, 'The use of closed-circuit television and video in suicide prevention: narrative review and future directions', Jmir Mental Health, 8, http://dx.doi.org/10.2196/27663

Onie S; Li X; Liang M; Sowmya A; Larsen ME, 2021, 'The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions (Preprint)', , http://dx.doi.org/10.2196/preprints.27663

Wang G; Sun C; Sowmya A, 2021, 'Attentive feature refinement network for single rainy image restoration', IEEE Transactions on Image Processing, 30, pp. 3734 - 3747, http://dx.doi.org/10.1109/TIP.2021.3064229

Spooner A; Chen E; Sowmya A; Sachdev P; Kochan NA; Trollor J; Brodaty H, 2020, 'A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction', Scientific Reports, 10, pp. 20410, http://dx.doi.org/10.1038/s41598-020-77220-w

de Belen RAJ; Bednarz T; Sowmya A; Del Favero D, 2020, 'Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019', Translational Psychiatry, 10, pp. 333, http://dx.doi.org/10.1038/s41398-020-01015-w

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2020, 'Efficient inference for nonparametric hawkes processes using auxiliary latent variables', Journal of Machine Learning Research, 21

Arslan J; Samarasinghe G; Benke KK; Sowmya A; Wu Z; Guymer RH; Baird PN, 2020, 'Artificial intelligence algorithms for analysis of geographic atrophy: A review and evaluation', Translational Vision Science and Technology, 9, pp. 1 - 18, http://dx.doi.org/10.1167/tvst.9.2.57

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2020, 'Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants', International Journal of Data Science and Analytics, 10, pp. 321 - 330, http://dx.doi.org/10.1007/s41060-020-00223-3

Butcher C; Goldsmith BE; Nanlohy S; Sowmya A; Muchlinski D, 2020, 'Introducing the Targeted Mass Killing Data Set for the Study and Forecasting of Mass Atrocities', Journal of Conflict Resolution, 64, pp. 1524 - 1547, http://dx.doi.org/10.1177/0022002719896405

Wang M; Zhang W; Sun C; Sowmya A, 2020, 'Corner detection based on shearlet transform and multi-directional structure tensor', Pattern Recognition, 103, http://dx.doi.org/10.1016/j.patcog.2020.107299

Yang M; Sowmya A; Wei Z; Zheng B, 2020, 'Offshore Underwater Image Restoration Using Reflection-Decomposition-Based Transmission Map Estimation', IEEE Journal of Oceanic Engineering, 45, pp. 521 - 533, http://dx.doi.org/10.1109/JOE.2018.2886093

Ghaffari M; Sowmya A; Oliver R, 2020, 'Automated Brain Tumor Segmentation Using Multimodal Brain Scans: A Survey Based on Models Submitted to the BraTS 2012-2018 Challenges', IEEE Reviews in Biomedical Engineering, 13, pp. 156 - 168, http://dx.doi.org/10.1109/RBME.2019.2946868

Wang G; Sun C; Sowmya A, 2020, 'Cascaded Attention Guidance Network for Single Rainy Image Restoration', IEEE Transactions on Image Processing, 29, pp. 9190 - 9203, http://dx.doi.org/10.1109/TIP.2020.3023773

Wang G; Sun C; Sowmya A, 2020, 'Learning a Compact Vein Discrimination Model with GANerated Samples', IEEE Transactions on Information Forensics and Security, 15, pp. 635 - 650, http://dx.doi.org/10.1109/TIFS.2019.2924553

Wang G; Sun C; Sowmya A, 2020, 'Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition', IEEE Transactions on Information Forensics and Security, 15, pp. 375 - 390, http://dx.doi.org/10.1109/TIFS.2019.2922331

Gharleghi R; Samarasinghe G; Sowmya A; Beier S, 2020, '377 Machine Learning to Predict Hemodynamic Risk in Left Main Bifurcations', Heart, Lung and Circulation, 29, pp. S207 - S207, http://dx.doi.org/10.1016/j.hlc.2020.09.384

Zong K; Sowmya A; Trinder J, 2019, 'Building change detection from remotely sensed images based on spatial domain analysis and Markov random field', Journal of Applied Remote Sensing, 13, http://dx.doi.org/10.1117/1.JRS.13.024514

Liu Y; Sowmya A; Khamis H, 2018, 'Single camera multi-view anthropometric measurement of human height and mid-upper arm circumference using linear regression', Plos One, 13, http://dx.doi.org/10.1371/journal.pone.0195600

Zarepour E; Hosseini M; Kanhere SS; Sowmya A; Rabiee HR, 2017, 'Applications and Challenges of Wearable Visual Lifeloggers', Computer, 50, pp. 60 - 69, http://dx.doi.org/10.1109/MC.2017.82

Liu Y; Wang Y; Sowmya A; Chen F, 2016, 'Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data', Pattern Recognition, 60, pp. 145 - 156, http://dx.doi.org/10.1016/j.patcog.2016.04.023

Pazokifard B; Sowmya A; Moses D, 2016, 'Automatic 3D modelling of human diaphragm from lung MDCT images', International Journal of Computer Assisted Radiology and Surgery, 11, pp. 767 - 776, http://dx.doi.org/10.1007/s11548-015-1298-7

Yang M; Sowmya A, 2015, 'An Underwater Color Image Quality Evaluation Metric', IEEE Transactions on Image Processing, 24, pp. 6062 - 6071, http://dx.doi.org/10.1109/TIP.2015.2491020

Pazokifard B; Sowmya A; Moses D, 2015, 'Automatic patient-customised 3D reconstruction of human costal cartilage from lung MDCT dataset', International Journal of Computer Assisted Radiology and Surgery, 10, pp. 465 - 472, http://dx.doi.org/10.1007/s11548-014-1086-9

Zhou J; Semenovich D; Sowmya A; Wang J, 2014, 'Dictionary learning framework for fabric defect detection', Journal of the Textile Institute, 105, pp. 223 - 234, http://dx.doi.org/10.1080/00405000.2013.836784

Yang M; Sowmya A, 2014, 'New image quality evaluation metric for underwater video', IEEE Signal Processing Letters, 21, pp. 1215 - 1219, http://dx.doi.org/10.1109/LSP.2014.2330848

Pazokifard B; Sowmya A, 2013, '3-D segmentation of human sternum in lung MDCT images', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2013, pp. 3351 - 3354, http://dx.doi.org/10.1109/EMBC.2013.6610259

Zong K; Sowmya A; Trinder J, 2013, 'Machine learning based urban change detection by fusing high resolution aerial images and lidar data', Communications in Computer and Information Science, 398 PART I, pp. 522 - 532, http://dx.doi.org/10.1007/978-3-642-45025-9_51

Massoudi A; Semenovich D; Sowmya A, 2012, 'Cell tracking and mitosis detection using splitting flow networks in phase-contrast imaging.', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 5310 - 5313

Vo KT; Sowmya A, 2010, 'Multiple kernel learning for classification of diffuse lung disease using HRCT lung images.', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 3085 - 3088

Vo KT; Sowmya A, 2010, 'Multiple kernel learning for classification of diffuse lung disease using HRCT lung images.', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2010, pp. 3085 - 3088


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