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Haozhe Jia
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2020 – today
- 2024
- [c11]Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan:
Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture. ECCV (34) 2024: 128-145 - [c10]Haozhe Jia
, Yan Li
DisControlFace: Adding Disentangled Control to Diffusion Autoencoder for One-shot Explicit Facial Image Editing. ACM Multimedia 2024: 6793-6802 - [i8]Likun Li, Haoqi Zeng, Changpeng Yang, Haozhe Jia, Di Xu:
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation. CoRR abs/2403.07500 (2024) - [i7]Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan:
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture. CoRR abs/2406.00440 (2024) - 2023
- [j5]Haozhe Jia
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023) - [c9]Yanzhi Fan
Semi-supervised learning with CNN for low-light images enhancement. ICBDT 2023: 391-395 - [i6]Haozhe Jia, Yan Li, Hengfei Cui, Di Xu, Changpeng Yang, Yuwang Wang, Tao Yu:
DisControlFace: Disentangled Control for Personalized Facial Image Editing. CoRR abs/2312.06193 (2023) - 2022
- [j4]Haozhe Jia
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [i5]Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR abs/2202.05268 (2022) - 2021
- [c8]Haozhe Jia, Chao Bai, Weidong Cai
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) 2021: 106-115 - [i4]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i3]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - 2020
- [j3]Hongyu Wang
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. IEEE J. Biomed. Health Informatics 24(2): 475-485 (2020) - [j2]Haozhe Jia
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging 39(2): 447-457 (2020) - [c7]Haozhe Jia, Weidong Cai
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - [c6]Haozhe Jia
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) 2020: 480-490 - [i2]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR abs/2012.15318 (2020)
2010 – 2019
- 2019
- [c5]Haozhe Jia
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) 2019: 110-118 - 2018
- [j1]Haozhe Jia
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. Neurocomputing 275: 1358-1369 (2018) - [c4]Yuanyuan Chen, Haozhe Jia
Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging. BICS 2018: 303-311 - [c3]Dongnan Liu
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. ICIP 2018: 2461-2465 - [c2]Donghao Zhang
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) 2018: 237-244 - [i1]Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR abs/1807.06742 (2018) - 2017
- [c1]Haozhe Jia
Prostate segmentation in MR images using ensemble deep convolutional neural networks. ISBI 2017: 762-765
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