By Professor Arcot Sowmya

Books

, 2002, Proceedings of the ICML-2002 Workshop on Machine Learning in Computer Vision, Sowmya A; Zrimec T, (ed.), University of New South Wales, Sydney

, 2001, Distributed computer control systems 2000, Sowmya A; Park J, (ed.), Los Alimitos, Los Alimitos

Book Chapters

Xu H; Wang D; Sowmya A; Katz I, 2023, 'Detection of Basal Cell Carcinoma in Whole Slide Images', in , pp. 263 - 272, http://dx.doi.org/10.1007/978-3-031-43987-2_26

Li X; de Belen RA; Sowmya A; Onie S; Larsen M, 2023, 'Region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention', in , pp. 178 - 192, http://dx.doi.org/10.1007/978-3-031-37660-3_13

Ghaffari M; Sowmya A; Oliver R, 2021, 'Automated Brain Tumour Segmentation Using Cascaded 3D Densely-Connected U-Net', in Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, pp. 481 - 491, http://dx.doi.org/10.1007/978-3-030-72084-1_43

Zhou F; Li Z; Fan X; Wang Y; Sowmya A; Chen F, 2018, 'A Refined MISD Algorithm Based on Gaussian Process Regression', in Advances in Knowledge Discovery and Data Mining, Springer Nature, pp. 584 - 596, http://dx.doi.org/10.1007/978-3-319-93037-4_46

, 2016, '- Incremental Engineering of Lung Segmentation Systems', in Lung Imaging and Computer Aided Diagnosis, CRC Press, pp. 30 - 63, http://dx.doi.org/10.1201/b11106-5

Trinder JC; Sowmya A, 2009, 'Towards automation of information extraction from aerial and satellite images', in Li D; Shan J; Gong J (ed.), Geospatial technology for Earth Observation, Springer, New York, pp. 289 - 328

Trinder JC; Wang Y; Sowmya A; Palhang M, 1997, 'Artificial Intelligence in 3D Feature Extraction', in Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), Birkhauser Verlag, Basel, Switzerland, pp. 257 - 266

Trinder JC; Wang Y; Sowmya A; Palhang M, 1997, 'Artificial Intelligence Methods in 3D Feature Extraction', in Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), Birkhauser Verlag, Basel, Switzerland, pp. 257 - 266

Palhang M; Sowmya A, 1997, 'Automatic acquisition of object models by relational learning', in Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 239 - 258, http://dx.doi.org/10.1007/3-540-63636-6_14

Sowmya A, 1995, 'A cognitive approach to autonomous mobile robot development', in Perspectives on cognitive science: theories, experiments, and foundations, Ablex Publishing Corporation, Norwood, New Jersey, pp. 181 - 187

SOWMYA A, 1995, 'COMPARING RTL AND FNLOG- TIMING PROPERTIES IN REAL-TIME SYSTEMS', in Distributed Computer Control Systems 1994, Elsevier, pp. 107 - 111, http://dx.doi.org/10.1016/b978-0-08-042237-4.50023-8

BAJAJ S; SOWMYA A; RAMESH S; AHMED N, 1995, 'CONTROL DESIGN FOR AUTOLAB USING THE REACTIVE PARADIGM', in Distributed Computer Control Systems 1995, Elsevier, pp. 165 - 170, http://dx.doi.org/10.1016/b978-0-08-042593-1.50032-8

Sowmya A, 1992, 'A STATECHARTS-BASED SPECIFICATION AND VERIFICATION OF REAL-TIME JOB SCHEDULING SYSTEMS', in Real-Time Programming 1992, Elsevier, pp. 263 - 268, http://dx.doi.org/10.1016/b978-0-08-041894-0.50047-2

Journal articles

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

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

Pitiyarachchi O; Lin FP; Spooner A; Sharbeen G; Barker HP; Thornton K; Collignon E; Ballinger ML; Thomas DM; Magenau A; Porazinski S; Raina A; Sjoquist KM; Chantrill LA; Gebski V; Sowmya A; Timpson P; Pajic M; Goldstein D; Phillips PA, 2024, '1513P Impact of symptom and functional burden on survival in pancreatic ductal adenocarcinoma (PDAC)', Annals of Oncology, 35, pp. S925 - S925, http://dx.doi.org/10.1016/j.annonc.2024.08.1576

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

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

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