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An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images
Tissue microarray (TMA) assessment of histomorphological biomarkers contributes to more accurate prediction of outcome of patients with colorectal cancer (CRC), a common disease. Unfortunately, a…
FRR-Net: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm Repair
For endovascular aneurysm repair (EVAR), real-time and accurate segmentation and tracking of interventional instruments can aid in reducing radiation exposure, contrast agents and procedure time.…
Deep Quantized Representation for Enhanced Reconstruction
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Medical Image Synthesis with Improved Cycle-Gan: CT from Cect
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Improved resolution in structured illumination microscopy with 3D model-based restoration
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Data Preprocessing via Compositions Multi-Channel Mri Images to Improve Brain Tumor Segmentation
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Brooklyn 5G Summit: 5G and Beyond

CTO of NTT DoCoMo, Mr. Seizo Onoe, delivers his keynote address on the future of 5G technology and beyond.

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End-To-End Training of Neural Networks with Topological Loss
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Localization of the Epileptogenic Zone Using Virtual Resection of Magnetoencephalography (MEG)- Based Brain Networks
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Generalization Power of Deep Learning Approaches: Learning from the Output of Classical Image Processing Methods
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Brooklyn 5G Summit: The Road to 5G: Requirements, Capabilities and Expectations

AT&T SVP Mr. Tom Keathley presents his keynote on the requirements, capabilities and expectations found on the road to…

456 views
5G Broadcast Status and Overview
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Viable Deterministic 5G System Model
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Weakly Supervised Lesion Co-Segmentation on CT Scans
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Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks
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Multiple Instance Learning Via Deep Hierarchical Exploration for Histology Image Classification
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A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium
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ESCELL: Emergent Symbolic Cellular Language
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Learning a Self-Inverse Network for Bidirectional MRI Image Synthesis
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Looking in the Right Place for Anomalies: Explainable AI through Automatic Location Learning
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Recognition of Event-Associated Brain Functional Networks in EEG for Brain Network Based Applications
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APEC 2015: KeyTalks - Solid State Lighting

David Cox, Cree, speaks about power achitectures for the next generation of solid state lighting

591 views
Removing Structured Noise with Self-Supervised Blind-Spot Networks
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Region Proposal Network with IoU-Balance Loss and Graph Prior for Landmark Detection in 3D Ultrasound
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Showing 529 - 552 of 23823