By Associate Professor Yang Song

Conference Papers

Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2010, 'Structure-adaptive feature extraction and representation for multi-modality lung images retrieval', in Proceedings 2010 Digital Image Computing Techniques and Applications Dicta 2010, pp. 152 - 157, http://dx.doi.org/10.1109/DICTA.2010.37

Conference Presentations

Thurow S; Del Favero D; Frohne U; Moinuddin K; Sharma A; Song Y, 2023, 'Re-Imagining the Climate Emergency Using AI Visualisation', presented at RE:SOURCE – 10th International Conference on the Histories of Media Art, Science & Technology, Venice Centre for Digital & Public Humanities, Università Ca’Foscari Venice, Italy, 13 September 2023 - 16 September 2023, https://www.resource-media.art/

Conference Abstracts

Del Favero D; Song Y; Moinuddin K; Green C; Sharples J; Ong A; Brohier N, 2023, 'Penumbra2.0', in ACM SIGGRAPH Asia 2023 Art Gallery, ACM, pp. 1 - 2, presented at SA Art Gallery '23: ACM SIGGRAPH Asia 2023 Art Gallery, http://dx.doi.org/10.1145/3610537.3622946

Song Y; Cai W; Zhou Y; Fulham M; Feng D, 2014, 'Volume-of-interest retrieval for PET-CT images with a conditional random field alignment', in JOURNAL OF NUCLEAR MEDICINE, SOC NUCLEAR MEDICINE INC, MO, St Louis, Vol. 55, presented at Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), MO, St Louis, 07 June 2014 - 11 June 2014, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000361438103236&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Working Papers

Rana P; Sowmya A; Meijering E; Song Y, 2020, Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation, http://dx.doi.org10.1101/2020.07.29.226498

Creative Works (non-textual)

Del Favero D; Ostwald M; Song Y; Moinuddin K; Penney G, 2024, Umbra, AFAC24, Fire and Rescue NSW Emergency Services Academy, Orchard Hills, 03 September 2024 - 06 September 2024, medium: Intewractive Computer-graphic Installation, at: https://www.afacconference.com.au/

Del Favero D; Song Y; Green C; Moinuddin K, 2024, Penumbra 3.0, International Symposium on Electronic Art's Constellations, Queensland University of Technology, Brisbane, 27 June 2024 - 28 June 2024, medium: Cmoputer-graphic installation, at: https://isea2024.isea-international.org/creative-program/constellations/

Del Favero D; Brohier N; Ong A; Clemente L; Sharples J; Song Y; Green C; Moinuddin K; Ong A, 2023, Penumbra 2.0, Viscera, Cavallerizza Reale (Turin, Italy), 13 September 2023 - 14 October 2023, medium: Computer-Graphic Installation, at: https://recontemporary.com/en/mostre/dennis-del-favero-viscera-2/

Del Favero D; Thurow S; Tirado Cortes C; Ong A; Brohier N; Helsby-Clark N; Song Y; Sharples J, 2022, Penumbra 1.0, Düsseldorf Cologne Open, Galerie Brigitte Schenk, Cologne, Germany, 02 September 2022 - 06 December 2022, medium: single channel video, at: https://www.dc-open.de/venues/galerie-brigitte-schenk

Preprints

Ho M; Song Y; Sachdev P; Jiang J; Wen W, 2025, An Enhanced Conditional Variational Autoencoder-Based Normative Model for Neuroimaging Analysis, http://dx.doi.org/10.1101/2025.01.05.631276

Jin Q; Cui H; Sun C; Song Y; Zheng J; Cao L; Wei L; Su R, 2024, Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation, http://dx.doi.org/10.48550/arxiv.2403.12767

Fan L; Ding Y; Fan D; Wu Y; Chu H; Pagnucco M; Song Y, 2023, An annotated grain kernel image database for visual quality inspection, http://dx.doi.org/10.48550/arxiv.2401.08599

Fan L; Ding Y; Fan D; Wu Y; Pagnucco M; Song Y, 2023, Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection, http://dx.doi.org/10.48550/arxiv.2311.11901

Chen Y; Zekelman LR; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; Zhang F; O'Donnell LJ, 2023, TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance, http://dx.doi.org/10.48550/arxiv.2307.03982

Huang R; Xue H; Pagnucco M; Salim F; Song Y, 2023, Vision-based Multi-future Trajectory Prediction: A Survey, http://dx.doi.org/10.48550/arxiv.2302.10463

Chen Y; Zhang F; Zekelman LR; Xue T; Zhang C; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2023, TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography, http://dx.doi.org/10.48550/arxiv.2301.01911

Rana P; Sowmya A; Meijering E; Song Y, 2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675

Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762

Xue T; Zhang F; Zhang C; Chen Y; Song Y; Golby AJ; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2022, Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions, http://dx.doi.org/10.48550/arxiv.2207.08975

Chen Y; Zhang F; Zhang C; Xue T; Zekelman LR; He J; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; O'Donnell LJ, 2022, White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning, http://dx.doi.org/10.48550/arxiv.2207.02402

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

Chen Y; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell LJ, 2022, Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation, http://dx.doi.org/10.48550/arxiv.2205.00627

Fan L; Ding Y; Fan D; Di D; Pagnucco M; Song Y, 2022, GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains, http://dx.doi.org/10.48550/arxiv.2203.05306

Xue T; Zhang F; Zhang C; Chen Y; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2022, SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning, http://dx.doi.org/10.48550/arxiv.2201.12528

Mandal A; Priyam S; Chan HH; Gouveia BM; Guitera P; Song Y; Baker MAB; Vafaee F, 2022, Computer-aided diagnosis of reflectance confocal images to differentiate between lentigo maligna (LM) and atypical intraepidermal melanocytic proliferation (AIMP), http://dx.doi.org/10.1101/2022.05.10.491423

Wang H; Zhang C; Yu J; Song Y; Liu S; Chrzanowski W; Cai W, 2021, Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction, http://dx.doi.org/10.48550/arxiv.2108.06522

Bai Y; Wang J; Long Y; Hu B; Song Y; Pagnucco M; Guan Y, 2021, Discriminative Latent Semantic Graph for Video Captioning, http://dx.doi.org/10.48550/arxiv.2108.03662

Chen Y; Zhang C; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell LJ, 2021, Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation, http://dx.doi.org/10.48550/arxiv.2107.04938

Wang X; Xiang T; Zhang C; Song Y; Liu D; Huang H; Cai W, 2021, BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation, http://dx.doi.org/10.48550/arxiv.2106.14033

Xiang T; Zhang C; Liu D; Song Y; Huang H; Cai W, 2020, BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture, http://dx.doi.org/10.48550/arxiv.2007.00243

Liu D; Zhang D; Song Y; Zhang F; O'Donnell L; Huang H; Chen M; Cai W, 2020, Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting, http://dx.doi.org/10.48550/arxiv.2005.02066

Liu D; Zhang D; Song Y; Huang H; Cai W, 2020, Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images, http://dx.doi.org/10.48550/arxiv.2002.06345

Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2018, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161

Jia H; Song Y; Zhang D; Huang H; Feng D; Fulham M; Xia Y; Cai W, 2018, 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation, http://dx.doi.org/10.48550/arxiv.1807.06742

Liu S; Zhang D; Song Y; Peng H; Cai W, 2017, Automated 3D Neuron Tracing with Precise Branch Erasing and Confidence Controlled Back-Tracking, http://dx.doi.org/10.1101/109892

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