Tianchen Wang
Orcid: 0000-0002-1587-8778
According to our database1,
Tianchen Wang
authored at least 46 papers
between 2015 and 2025.
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Bibliography
2025
Pattern Recognit., 2025
2024
HOCM-Net: 3D coarse-to-fine structural prior fusion based segmentation network for the surgical planning of hypertrophic obstructive cardiomyopathy.
Expert Syst. Appl., 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
Proceedings of the 3rd International Conference on Artificial Intelligence, 2024
2023
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.
Health Inf. Sci. Syst., December, 2023
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023
Attention to Hazardous Regions: Pseudo Point Cloud Generation for Real-time 3D Object Detection.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023
Making Sense of Using a SmartNIC to Reduce Datacenter Tax from SLO and TCO Perspectives.
Proceedings of the IEEE International Symposium on Workload Characterization, 2023
Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023
2022
Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks.
IEEE Trans. Wirel. Commun., 2022
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.
IEEE Trans. Computers, 2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications.
CoRR, 2022
2021
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images.
ACM J. Emerg. Technol. Comput. Syst., 2021
ACM J. Emerg. Technol. Comput. Syst., 2021
ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection.
CoRR, 2021
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Entropy Production-Based Full-Chip Fatigue Analysis: From Theory to Mobile Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
IET Cyper-Phys. Syst.: Theory & Appl., 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Fast and Accurate Emissivity and Absolute Temperature Maps Measurement for Integrated Circuits.
IEEE Trans. Very Large Scale Integr. Syst., 2018
Efficient Hardware Implementation of Cellular Neural Networks with Incremental Quantization and Early Exit.
ACM J. Emerg. Technol. Comput. Syst., 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Resource constrained cellular neural networks for real-time obstacle detection using FPGAs.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
2017
Phd Forum: Real-Time Lane-Vehicle Detection for Advanced Driver Assistance on Mobile Devices.
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017
Resource constrained real-time lane-vehicle detection for advanced driver assistance on mobile devices.
Proceedings of the Symposium on Applied Computing, 2017
Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization.
Proceedings of the Neuromorphic Computing Symposium, 2017
Edge segmentation: Empowering mobile telemedicine with compressed cellular neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
2015
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015