By Professor Arcot Sowmya

Conference Papers

Roop PS; Sowmya A, 1997, 'Functional Decomposition of Composite Finite State Machines', in 4th Annual Australasian Conference on Parallel and Real-Time Systems (PART` 97), Newcastle, NSW, presented at 4th Annual Australasian Conference on Parallel and Real-Time Systems (PART` 97), Newcastle, NSW, 20 September 1997 - 30 September 1997

Sowmya A; Ramesh S, 1997, 'A semantics-preserving transformation of statecharts to FNLOG', in MacLeod IM; Kwon WH (ed.), DISTRIBUTED COMPUTER CONTROL SYSTEMS 1997 (DCCS'97), PERGAMON PRESS LTD, SOUTH KOREA, SEOUL, pp. 29 - 37, presented at 14th IFAC Workshop on Distributed Computer Control Systems (DCCS 97), SOUTH KOREA, SEOUL, 28 July 1997 - 30 July 1997, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000080057600005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Roop PS; Sowmya A, 1997, 'CFSMcharts: A New Language for Microprocessor Based System Design', in Proceedings of the VLSI Design Conferences, Chennai (Madras), India, presented at 11th International Conference on VLSI Design 1998, Chennai (Madras), India, 04 January 1997 - 07 January 1997

Peters M; Sowmya A, 1996, 'Active vision and adaptive learning', in Intelligent Robots and Computer Vision XV: Algorithms, Techniques, Active Visiag, Boston, Massachusetts, presented at Intelligent Robots and Computer Vision XV: Algorithms, Techniques, Active Visiag, Boston, Massachusetts, 19 November 1996 - 21 November 1996

Sowmya A; Palhang M, 1996, 'Automatic model building from images for multimedia systems', in Internationa Conference on Multimedia Modelling, Toulouse, France, presented at Internationa Conference on Multimedia Modelling, Toulouse, France, 12 November 1996 - 15 November 1996

Palhang M; Sowmya A, 1996, 'Experiments with foil to induce spatial representations', in Workshop on Inducing Complex Representations, Cairns, Qld, presented at Workshop on Inducing Complex Representations, Cairns, Qld, 26 August 1996 - 30 August 1996

Sowmya A; Bajaj S; Rahesh S, 1996, 'Design of distributed control for AUTOLAB', in 13th IFAC World Congress 2006, San Francisco, California USA, presented at 13th IFAC World Congress 2006, San Francisco, California USA, 30 June 1996 - 05 July 1996

Palhang M; Sowmya A, 1996, 'Learning object models from real images', in 1st International Conference on Visual Information Systems, Melbourne, presented at 1st International Conference on Visual Information Systems, Melbourne, 05 February 1996 - 06 February 1996

Bajaj S; Sowmya A; Ramesh S, 1995, 'Control design for autolab using the reactive paradigm', in International Workshop on Distributed Computer Control Systems, Toulouse-Blagnac, France, presented at International Workshop on Distributed Computer Control Systems, Toulouse-Blagnac, France, 27 September 1995 - 29 September 1995

Ahmed N; Sowmya A, 1994, 'AutoLab: a robotics solution for flexible laboratory automation', in Proceedings of SPIE the International Society for Optical Engineering, pp. 205 - 214

Sowmya A; Lee KWE, 1994, 'GENERATING SYMBOLIC DESCRIPTIONS OF TWO-DIMENSIONAL BLOCKS WORLD', in Proceedings of Iapr Workshop on Machine Vision Applications Mva 1994, pp. 65 - 70

Sowmya A, 1993, 'Specification of Real-time Job Scheduling Systems Using Timed Statecharts', in IFAC-PapersOnLine, Elsevier, pp. 733 - 738, http://dx.doi.org/10.1016/s1474-6670(17)49042-2

Sowmya A; Ahmed N, 1992, 'How to move in a corridor revisited', in Proceedings of SPIE the International Society for Optical Engineering, pp. 127 - 138, http://dx.doi.org/10.1117/12.135172

Sowmya A, 1992, 'Real-time reactive model for mobile robot architecture', in Proceedings of SPIE the International Society for Optical Engineering, pp. 713 - 721

Sowmya A, 1992, 'A Statecharts-Based Specification and Verification of Real-TIme Job Scheduling Systems', in IFAC-PapersOnLine, Elsevier, pp. 263 - 268, http://dx.doi.org/10.1016/s1474-6670(17)50159-7

SOWMYA A; RAMESH S, 1991, 'VERIFICATION OF TIMING PROPERTIES IN A STATECHARTS-BASED MODEL OF REAL-TIME REACTIVE SYSTEMS', in Kopetz H; Rodd MG (ed.), DISTRIBUTED COMPUTER CONTROL SYSTEMS 1991, PERGAMON PRESS LTD, AUSTRIA, SEMMERING, pp. 29 - 34, presented at 10TH WORKSHOP ON DISTRIBUTED COMPUTER CONTROL SYSTEMS, AUSTRIA, SEMMERING, 09 September 1991 - 11 September 1991, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1992BX16F00005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Rahardja A; Sowmya A; Wilson WH, 1991, 'A neural network approach to component versus holistic recognition of facial expressions in images', in Proceedings of SPIE Symposium on Intelligent Robots and Computer Vision X: Algorithms and Techniques, SPIE Proceedings Vol. 1607, Boston MA, pp. 62 - 70, presented at SPIE Symposium on Intelligent Robots and Computer Vision, Boston MA

Rahardja A; Sowmya A; Wilson WH, 1991, 'Component versus holistic approach to facial expression formation and recognition of facial expressions in images', in Proceedings of the Conference on Neural Networks for Vision and Image Processing, Wang Institute, Boston University, Boston, pp. 56 - 57, presented at Conference on Neural Networks for Vision and Image Processing, Boston University

Sowmya A, 1991, 'A REAL-TIME REACTIVE MODEL OF CONTROL OF AN AUTONOMOUS MOBILE ROBOT', in IFAC-PapersOnLine, Elsevier, pp. 63 - 68, http://dx.doi.org/10.1016/b978-0-08-041699-1.50015-x

Conference Posters

Spooner A; Toplis B; Maher S; Vafaee F; Sowmya A; Zekry A, 2025, 'Improving prediction of primary hepatocellular carcinoma development in the BIOMICA Cohort using multi-label machine learning', Melbourne, presented at World Congress of Gastroenterology & Australian Gastroenterology Week 2025 2025, Melbourne, 19 September 2025 - 22 September 2025

Spooner A; George J; McCaughan G; Boutros R; Toplis B; Maher S; Vafaee F; Sowmya A; Zekry A, 2025, 'Predicting progression to hepatocellular carcinoma using longitudinal data from the BIOMICA Study', Melbourne, presented at World Congress of Gastroenterology & Australian Gastroenterology Week 2025, Melbourne, 19 September 2025 - 22 September 2025

Conference Abstracts

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)', in Annals of Oncology, Elsevier, Vol. 35, pp. s925, http://dx.doi.org/10.1016/j.annonc.2024.08.1576

Spooner A; Behary J; Moridani MK; Safarchi A; Sowmya A; Zekry A; Vafaee F, 2024, 'Integrative machine learning model using multi-omics data for early prediction and biomarker identification of hepatocellular carcinoma', in JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, WILEY, Vol. 39, pp. 108 - 108

Moridani MK; Behary J; Spooner A; Safarchi A; Sowmya A; Zekry A; Vafaee F, 2024, 'Microbial-metabolite interactions in MAFLD cirrhosis: Insights from MiMeNet-driven metagenomic and metabolomic integration', in JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, WILEY, Vol. 39, pp. 106 - 107

Working Papers

Jalova de Belen RA; Mohammadi G; Sowmya A, 2025, GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations, http://dx.doi.org

Rana P; Sowmya A; Meijering E; Song Y, Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation, Cold Spring Harbor Laboratory, http://dx.doi.org10.1101/2020.07.29.226498

Preprints

Hafeez H; Garratt M; Plested J; Iyer S; Sowmya A, 2025, YOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images, http://dx.doi.org/10.48550/arxiv.2512.16493

Nguyen L; Cousins A; Sowmya A; Dixson H; Singh S, 2025, Predicting Coronary Artery Calcium Severity based on Non-Contrast Cardiac CT images using Deep Learning, http://dx.doi.org/10.48550/arxiv.2511.07695

de Belen RAJ; Mohammadi G; Sowmya A, 2025, GazeDETR: Gaze Detection using Disentangled Head and Gaze Representations, http://dx.doi.org/10.48550/arxiv.2508.12966

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, http://dx.doi.org/10.48550/arxiv.2508.06874

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, http://dx.doi.org/10.48550/arxiv.2501.04206

Javed S; Khan TM; Qayyum A; Alinejad-Rokny H; Sowmya A; Razzak I, 2024, Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images, http://dx.doi.org/10.48550/arxiv.2405.17520

Javed S; Khan TM; Qayyum A; Sowmya A; Razzak I, 2024, Region Guided Attention Network for Retinal Vessel Segmentation, http://dx.doi.org/10.48550/arxiv.2407.18970

Spooner A; Moridani MK; Safarchi A; Maher S; Vafaee F; Zekry A; Sowmya A, 2024, Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning, http://dx.doi.org/10.48550/arxiv.2409.13791

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, http://dx.doi.org/10.48550/arxiv.2402.10717

Mondol RK; Millar EKA; Sowmya A; Meijering E, 2024, MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, http://dx.doi.org/10.48550/arxiv.2402.11788

Singh S; Stevenson G; Mein B; Welsh A; Sowmya A, 2024, Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning, http://dx.doi.org/10.48550/arxiv.2401.09638

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 M; 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; Chen J; van Meegdenburg T; Dada A; Balzer M; Fragemann J; Jonske F; Rempe M; Malorodov S; Bahnsen FH; Seibold C; Jaus A; Marinov Z; Jaeger PF; Stiefelhagen R; Santos AS; Lindo M; Ferreira A; Alves V; Kamp M; Abourayya A; Nensa F; Hörst F; Brehmer A; Heine L; Hanusrichter Y; Weßling M; Dudda M; Podleska LE; Fink MA; Keyl J; Tserpes K; Kim M-S; Elhabian S; Lamecker H; Zukić D; Paniagua B; Wachinger C; Urschler M; Duong L; Wasserthal J; Hoyer PF; Basu O; Maal T; Witjes MJH; Schiele G; Chang T-C; Ahmadi S-A; Luo P; Menze B; Reyes M; Deserno TM; Davatzikos C; Puladi B; Fua P; Yuille AL; Kleesiek J; Egger J, 2023, MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision, http://dx.doi.org/10.48550/arxiv.2308.16139

Zhang S; Gharleghi R; Singh S; Sowmya A; Beier S, 2023, Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation, http://dx.doi.org/10.48550/arxiv.2310.10002

Rahman MA; Singh S; Shanmugalingam K; Iyer S; Blair A; Ravindran P; Sowmya A, 2023, Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images, https://arxiv.org/abs/2309.13872v1

Canepa L; Singh S; Sowmya A, 2023, Visual Question Answering in the Medical Domain, http://dx.doi.org/10.48550/arxiv.2309.11080

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, http://dx.doi.org/10.48550/arxiv.2304.04507

Gharleghi R; Adikari D; Ellenberger K; Webster M; Ellis C; Sowmya A; Ooi S-Y; Beier S, 2022, Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries, http://dx.doi.org/10.48550/arxiv.2211.01859

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease, http://dx.doi.org/10.48550/arxiv.2209.04793

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers, http://dx.doi.org/10.48550/arxiv.2207.02380

Spooner A; Mohammadi G; Sachdev PS; Brodaty H; Sowmya A, 2022, Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery, http://dx.doi.org/10.48550/arxiv.2207.01822

Xu H; Wang D; Sowmya A, 2022, Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis, http://dx.doi.org/10.48550/arxiv.2207.01345

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1

Iyer S; Blair A; Dawes L; Moses D; White C; Sowmya A, 2021, Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning, http://dx.doi.org/10.48550/arxiv.2112.03276

Aldausari N; Sowmya A; Marcus N; Mohammadi G, 2020, Video Generative Adversarial Networks: A Review

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