By Professor Arcot Sowmya

Journal articles

Alam MS; Wang D; Sowmya A, 2024, 'DLA-Net: dual lesion attention network for classification of pneumoconiosis using chest X-ray images', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-61024-3

Alam MS; Wang D; Sowmya A, 2024, 'AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images', Artificial Intelligence in Medicine, 154, http://dx.doi.org/10.1016/j.artmed.2024.102917

Chu Z; Singh S; Sowmya A, 2024, 'Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer.', J Imaging Inform Med, http://dx.doi.org/10.1007/s10278-024-01131-9

Iqbal MZ; Razzak I; Qayyum A; Nguyen TT; Tanveer M; Sowmya A, 2024, 'Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality', Information Fusion, 102, http://dx.doi.org/10.1016/j.inffus.2023.102061

de Belen RAJ; Eapen V; Bednarz T; Sowmya A, 2024, 'Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children', PLoS ONE, 19, http://dx.doi.org/10.1371/journal.pone.0282818

Hasan MM; Phu J; Sowmya A; Meijering E; Kalloniatis M, 2024, 'Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases', Clinical and Experimental Optometry, 107, pp. 130 - 146, http://dx.doi.org/10.1080/08164622.2023.2235346

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, 'BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion', IEEE Journal of Biomedical and Health Informatics, http://dx.doi.org/10.1109/JBHI.2024.3418341

Song J; Sowmya A; Sun C, 2024, 'Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution', IEEE Transactions on Multimedia, http://dx.doi.org/10.1109/TMM.2024.3405626

Gharleghi R; Adikari D; Ellenberger K; Webster M; Ellis C; Sowmya A; Ooi S; Beier S, 2023, 'Annotated computed tomography coronary angiogram images and associated data of normal and diseased arteries', Scientific Data, 10, http://dx.doi.org/10.1038/s41597-023-02016-2

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2023, 'Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery', BMC Bioinformatics, 24, http://dx.doi.org/10.1186/s12859-022-05132-9

de Belen RA; Pincham H; Hodge A; Silove N; Sowmya A; Bednarz T; Eapen V, 2023, 'Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder', BMC Psychiatry, 23, http://dx.doi.org/10.1186/s12888-023-04585-3

Singh S; Hoque S; Zekry A; Sowmya A, 2023, 'Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review', Journal of Medical Systems, 47, http://dx.doi.org/10.1007/s10916-023-01968-7

Alam MS; Wang D; Liao Q; Sowmya A, 2023, 'A Multi-Scale Context Aware Attention Model for Medical Image Segmentation', IEEE Journal of Biomedical and Health Informatics, 27, pp. 3731 - 3739, http://dx.doi.org/10.1109/JBHI.2022.3227540

Abdullah-Vetter Z; Dwivedi P; Buratti Y; Sowmya A; Trupke T; Hameiri Z, 2023, 'Advanced analysis of internal quantum efficiency measurements using machine learning', Progress in Photovoltaics: Research and Applications, 31, pp. 790 - 802, http://dx.doi.org/10.1002/pip.3683

Shen Y; Sowmya A; Luo Y; Liang X; Shen D; Ke J, 2023, 'A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN', IEEE Transactions on Medical Imaging, 42, pp. 1969 - 1981, http://dx.doi.org/10.1109/TMI.2022.3221724

Pan J; Ho S; Ly A; Kalloniatis M; Sowmya A, 2023, 'Drusen-aware model for age-related macular degeneration recognition', Ophthalmic and Physiological Optics, 43, pp. 668 - 679, http://dx.doi.org/10.1111/opo.13108

Onie S; Li X; Glastonbury K; Hardy RC; Rakusin D; Wong I; Liang M; Josifovski N; Brooks A; Torok M; Sowmya A; Larsen ME, 2023, 'Understanding and detecting behaviours prior to a suicide attempt: A mixed-methods study', Australian and New Zealand Journal of Psychiatry, 57, pp. 1016 - 1022, http://dx.doi.org/10.1177/00048674231152159

Fan L; Sowmya A; Meijering E; Song Y, 2023, 'Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency', IEEE Transactions on Medical Imaging, 42, pp. 1401 - 1412, http://dx.doi.org/10.1109/TMI.2022.3228275

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2023, 'hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images', Cancers, 15, pp. 2569, http://dx.doi.org/10.3390/cancers15092569

Rana P; Sowmya A; Meijering E; Song Y, 2023, 'Imbalanced classification for protein subcellular localization with multilabel oversampling', Bioinformatics, 39, http://dx.doi.org/10.1093/bioinformatics/btac841

Nakagawa S; Lagisz M; Francis R; Tam J; Li X; Elphinstone A; Jordan NR; O’brien JK; Pitcher BJ; Van Sluys M; Sowmya A; Kingsford RT, 2023, 'Rapid literature mapping on the recent use of machine learning for wildlife imagery', Peer Community Journal, 3, http://dx.doi.org/10.24072/pcjournal.261

Song J; Liu K; Sowmya A; Sun C, 2023, 'Super-Resolution Phase Retrieval Network for Single-Pattern Structured Light 3D Imaging', IEEE Transactions on Image Processing, 32, pp. 537 - 549, http://dx.doi.org/10.1109/TIP.2022.3230245

Iyer S; Blair A; White C; Dawes L; Moses D; Sowmya A, 2023, 'Vertebral compression fracture detection using imitation learning, patch based convolutional neural networks and majority voting', Informatics in Medicine Unlocked, 38, http://dx.doi.org/10.1016/j.imu.2023.101238

Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Data augmentation with improved regularisation and sampling for imbalanced blood cell image classification', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-22882-x

Krzywicki A; Muchlinski D; Goldsmith BE; Sowmya A, 2022, 'From academia to policy makers: a methodology for real-time forecasting of infrequent events', Journal of Computational Social Science, 5, pp. 1489 - 1510, http://dx.doi.org/10.1007/s42001-022-00176-6

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

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