biomedical imaging

Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract) AAAI 2022 Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations CVPR 2022 Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography CVPR 2022 Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings CVPR 2022 DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images CVPR 2021 MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification AAAI 2021 Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model JMLR 2021 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NeurIPS 2021 Biomedical Image Segmentation via Representative Annotation AAAI 2019 Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation CVPR 2019 Deep Reinforcement Learning for Subpixel Neural Tracking MIDL 2019 Image Synthesis with a Convolutional Capsule Generative Adversarial Network MIDL 2019 Learning Multi-Class Segmentations From Single-Class Datasets CVPR 2019 Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering CVPR 2019 Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NeurIPS 2016 Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation NeurIPS 2015 Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014 Non-Linear Domain Adaptation with Boosting NeurIPS 2013 Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images NeurIPS 2012 Structured Learning for Cell Tracking NeurIPS 2011