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09/19/2023
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
The future of autonomous vehicles lies in the convergence of human-centr...
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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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08/10/2023
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology
Podocytes, specialized epithelial cells that envelop the glomerular capi...
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07/03/2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
Many anomaly detection approaches, especially deep learning methods, hav...
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07/01/2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
The Segment Anything Model (SAM) is a recently proposed prompt-based seg...
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06/05/2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical ima...
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05/31/2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
Multi-class cell segmentation in high-resolution Giga-pixel whole slide ...
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05/27/2023
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion
Sensor fusion is a crucial augmentation technique for improving the accu...
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04/24/2023
Exploring shared memory architectures for end-to-end gigapixel deep learning
Deep learning has made great strides in medical imaging, enabled by hard...
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04/09/2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
The segment anything model (SAM) was released as a foundation model for ...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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03/30/2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA) adapts a learner to a new domai...
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03/13/2023
Distributionally Robust Chance-Constrained Optimization for Hierarchical UAV-based MEC
Multi-access edge computing (MEC) is regarded as a promising technology ...
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10/08/2022
Matching Estimators of Causal Effects in Clustered Observational Studies with Application to Quantifying the Impact of Marine Protected Areas on Biodiversity
Marine conservation preserves fish biodiversity, protects marine and coa...
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08/15/2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Multi-instance learning (MIL) is widely used in the computer-aided inter...
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06/27/2022
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation
Comprehensive semantic segmentation on renal pathological images is chal...
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03/25/2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
The rapid development of diagnostic technologies in healthcare is leadin...
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01/25/2022
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
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12/31/2021
Learned Coarse Models for Efficient Turbulence Simulation
Turbulence simulation with classical numerical solvers requires very hig...
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12/23/2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data
Computer-assisted quantitative analysis on Giga-pixel pathology images h...
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11/22/2021
Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing
In neuromorphic computing, artificial synapses provide a multi-weight co...
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09/13/2021
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation
Automatic methods to segment the vestibular schwannoma (VS) tumors and t...
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08/10/2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Data processing and analytics are fundamental and pervasive. Algorithms ...
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07/09/2021
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Optical coherence tomography (OCT) is a non-invasive imaging technique w...
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07/06/2021
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...
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03/30/2021
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment
Alphas are stock prediction models capturing trading signals in a stock ...
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01/17/2021
Asynchronous Multi-View SLAM
Existing multi-camera SLAM systems assume synchronized shutters for all ...
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11/11/2020
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
Complementary metal oxide semiconductor (CMOS) devices display volatile ...
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11/03/2020
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation
Atlas-based methods are the standard approaches for automatic targeting ...
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10/31/2020
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data
In practical chiller systems, applying efficient fault diagnosis techniq...
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03/04/2020