Select Publications
Preprints
2024, Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation, http://dx.doi.org/10.48550/arxiv.2403.12767
,2023, An annotated grain kernel image database for visual quality inspection, http://dx.doi.org/10.48550/arxiv.2401.08599
,2023, Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection, http://dx.doi.org/10.48550/arxiv.2311.11901
,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
,2023, Multimodal Trajectory Prediction: A Survey, http://dx.doi.org/10.48550/arxiv.2302.10463
,2023, TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography, http://dx.doi.org/10.48550/arxiv.2301.01911
,2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675
,2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762
,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
,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
,2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1
,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
,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
,2022, SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning, http://dx.doi.org/10.48550/arxiv.2201.12528
,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
,2021, Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction, http://dx.doi.org/10.48550/arxiv.2108.06522
,2021, Discriminative Latent Semantic Graph for Video Captioning, http://dx.doi.org/10.48550/arxiv.2108.03662
,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
,2021, BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation, http://dx.doi.org/10.48550/arxiv.2106.14033
,2020, BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture, http://dx.doi.org/10.48550/arxiv.2007.00243
,2020, Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting, http://dx.doi.org/10.48550/arxiv.2005.02066
,2020, Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images, http://dx.doi.org/10.48550/arxiv.2002.06345
,2018, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161
,2018, 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation, http://dx.doi.org/10.48550/arxiv.1807.06742
,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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