Select Publications
Preprints
2024, Multi-omics data integration for early diagnosis of hepatocellular carcinoma (HCC) using machine learning, http://arxiv.org/abs/2409.13791v1
,2024, Region Guided Attention Network for Retinal Vessel Segmentation, http://dx.doi.org/10.48550/arxiv.2407.18970
,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
,2024, MM-SurvNet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion, http://arxiv.org/abs/2402.11788v1
,2024, BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion, http://dx.doi.org/10.1109/JBHI.2024.3418341
,2024, Automatic 3D Multi-modal Ultrasound Segmentation of Human Placenta using Fusion Strategies and Deep Learning, http://arxiv.org/abs/2401.09638v1
,2023, Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation, http://arxiv.org/abs/2310.10002v1
,2023, Attention and Pooling based Sigmoid Colon Segmentation in 3D CT images, http://arxiv.org/abs/2309.13872v1
,2023, Visual Question Answering in the Medical Domain, http://arxiv.org/abs/2309.11080v1
,2023, MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision, http://dx.doi.org/10.48550/arxiv.2308.16139
,2023, hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images, http://dx.doi.org/10.3390/cancers15092569
,2023, Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children, http://dx.doi.org/10.1101/2023.06.13.23286416
,2022, Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries, http://dx.doi.org/10.48550/arxiv.2211.01859
,2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675
,2022, Temporal Pattern Mining for Analysis of Longitudinal Clinical Data: Identifying Risk Factors for Alzheimer's Disease, http://arxiv.org/abs/2209.04793v1
,2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762
,2022, Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers, http://arxiv.org/abs/2207.02380v1
,2022, Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery, http://arxiv.org/abs/2207.01822v1
,2022, Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis, http://dx.doi.org/10.48550/arxiv.2207.01345
,2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1
,2022, Blood-based transcriptomic signature panel identification for cancer diagnosis: Benchmarking of feature extraction methods, http://dx.doi.org/10.1101/2022.03.13.483368
,2021, Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning, http://dx.doi.org/10.48550/arxiv.2112.03276
,2020, Video Generative Adversarial Networks: A Review, http://dx.doi.org/10.48550/arxiv.2011.02250
,2020, Brain tumour segmentation using cascaded 3D densely-connected U-net, http://dx.doi.org/10.48550/arxiv.2009.07563
,2019, Scalable Inference for Nonparametric Hawkes Process Using P\'{o}lya-Gamma Augmentation, http://dx.doi.org/10.48550/arxiv.1910.13052
,2019, Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants, http://dx.doi.org/10.48550/arxiv.1906.02438
,2019, Efficient EM-Variational Inference for Hawkes Process, http://dx.doi.org/10.48550/arxiv.1905.12251
,Elections and Political Instability: Ballots to Bullets, Voting to Violence?, http://dx.doi.org/10.2139/ssrn.2074874
,Forecasting the Onset of Genocide and Politicide: Annual Out-of-Sample Forecasts on a Global Dataset, 1988-2003, http://dx.doi.org/10.2139/ssrn.2027396
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