By Professor Arcot Sowmya

Journal articles

Song J; Sowmya A; Zhang W; Sun C, 2025, 'Efficient transformer with compressed-attention for stereo image super-resolution', Knowledge Based Systems, 331, http://dx.doi.org/10.1016/j.knosys.2025.114844

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2025, 'Identifying risk factors for Alzheimer’s disease from multivariate longitudinal clinical data using temporal pattern mining', BMC Bioinformatics, 26, http://dx.doi.org/10.1186/s12859-024-06018-8

Alam MS; Meijering E; Wang D; Sowmya A, 2025, 'Multiscale attention generative adversarial networks for lesion synthesis in chest X-ray images', Scientific Reports, 15, http://dx.doi.org/10.1038/s41598-025-26628-3

Hasan MM; Phu J; Wang H; Sowmya A; Kalloniatis M; Meijering E, 2025, 'OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning', Scientific Reports, 15, http://dx.doi.org/10.1038/s41598-025-87219-w

Hasan MM; Phu J; Wang H; Sowmya A; Meijering E; Kalloniatis M, 2025, 'Predicting visual field global and local parameters from OCT measurements using explainable machine learning', Scientific Reports, 15, http://dx.doi.org/10.1038/s41598-025-89557-1

Song J; Sowmya A; Sun C, 2025, 'Efficient frequency feature aggregation transformer for image super-resolution', Pattern Recognition, 167, http://dx.doi.org/10.1016/j.patcog.2025.111735

Mondol RK; Millar EKA; Graham PH; Browne L; Sowmya A; Meijering E, 2025, 'GRAPHITE: Graph-based interpretable tissue examination for enhanced explainability in breast cancer histopathology', Computers in Biology and Medicine, 197, http://dx.doi.org/10.1016/j.compbiomed.2025.111106

Zhang S; Gharleghi R; Singh S; Moses D; Adikari D; Sowmya A; Beier S, 2025, 'LWT-ARTERY-LABEL: A Lightweight Framework for Automated Coronary Artery Identification', Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference, 2025, pp. 1 - 5, http://dx.doi.org/10.1109/EMBC58623.2025.11253511

Song J; Liu K; Sowmya A; Sun C, 2025, 'Universal phase retrieval transformer for single-pattern structured light three-dimensional imaging', Optics and Lasers in Engineering, 188, http://dx.doi.org/10.1016/j.optlaseng.2025.108903

Spooner A; Moridani MK; Toplis B; Behary J; Safarchi A; Maher S; Vafaee F; Zekry A; Sowmya A, 2025, 'Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction', Briefings in Bioinformatics, 26, http://dx.doi.org/10.1093/bib/bbaf116

Li J; Zhou Z; Yang J; Pepe A; Gsaxner C; Luijten G; Qu C; Zhang T; Chen X; Li W; Wodzinski M; Friedrich P; Xie K; Jin Y; Ambigapathy N; Nasca E; Solak N; Melito GM; Vu VD; Memon AR; Schlachta C; De Ribaupierre S; Patel R; Eagleson R; Chen X; Mächler H; Kirschke JS; De La Rosa E; Christ PF; Li HB; Ellis DG; Aizenberg MR; Gatidis S; Küstner T; Shusharina N; Heller N; Andrearczyk V; Depeursinge A; Hatt M; Sekuboyina A; Löffler MT; Liebl H; Dorent R; Vercauteren T; Shapey J; Kujawa A; Cornelissen S; Langenhuizen P; Ben-Hamadou A; Rekik A; Pujades S; Boyer E; Bolelli F; Grana C; Lumetti L; Salehi H; Ma J; Zhang Y; Gharleghi R; Beier S; Sowmya A; Garza-Villarreal EA; Balducci T; Angeles-Valdez D; Souza R; Rittner L; Frayne R; Ji Y; Ferrari V; Chatterjee S; Dubost F; Schreiber S; Mattern H; Speck O; Haehn D; John C; Nürnberger A; Pedrosa J; Ferreira C; Aresta G; Cunha A; Campilho A; Suter Y; Garcia J; Lalande A; Vandenbossche V; Van Oevelen A; Duquesne K; Mekhzoum H; Vandemeulebroucke J; Audenaert E; Krebs C; Van Leeuwen T; Vereecke E; Heidemeyer H; Röhrig R; Hölzle F; Badeli V; Krieger K; Gunzer M, 2025, 'MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision', Biomedizinische Technik, 70, pp. 71 - 90, http://dx.doi.org/10.1515/bmt-2024-0396

Hassanzadeh T; Sachdev S; Wen W; Sachdev PS; Sowmya A, 2025, 'A robust deep learning framework for cerebral microbleeds recognition in GRE and SWI MRI', Neuroimage Clinical, 48, http://dx.doi.org/10.1016/j.nicl.2025.103873

Zhang S; Gharleghi R; Singh S; Shen C; Adikari D; Zhang M; Moses D; Vickers D; Sowmya A; Beier S, 2025, 'Optimising Generalisable Deep Learning Models for CT Coronary Segmentation: A Multifactorial Evaluation', Journal of Imaging Informatics in Medicine, http://dx.doi.org/10.1007/s10278-025-01677-2

Alam MS; Wang D; Arzhaeva Y; Ende JA; Kao J; Silverstone L; Yates D; Salvado O; Sowmya A, 2024, 'Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-79494-w

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

Song J; Sowmya A; Kato J; Sun C, 2024, 'Efficient masked feature and group attention network for stereo image super-resolution', Image and Vision Computing, 151, http://dx.doi.org/10.1016/j.imavis.2024.105252

Chu Z; Singh S; Sowmya A, 2024, 'Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer', Journal of Imaging Informatics in Medicine, 37, pp. 2444 - 2453, http://dx.doi.org/10.1007/s10278-024-01131-9

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

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, 28, pp. 5290 - 5302, 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, 26, pp. 10094 - 10105, 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

Back to profile page