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Jinxi Xiang
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2020 – today
- 2024
- [j8]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - [c9]Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei:
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. ICLR 2024 - 2023
- [j7]Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu:
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Comput. Biol. Medicine 152: 106340 (2023) - [j6]Zhou Chen, Jinxi Xiang, Pierre-Olivier Bagnaninchi, Yunjie Yang:
MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8938-8949 (2023) - [c8]Jinxi Xiang, Jun Zhang:
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. ICLR 2023 - [c7]Jinxi Xiang, Kuan Tian, Jun Zhang:
MIMT: Masked Image Modeling Transformer for Video Compression. ICLR 2023 - [c6]Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. ACM Multimedia 2023: 632-642 - [c5]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. ACM Multimedia 2023: 7961-7970 - [i8]Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu:
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. CoRR abs/2302.06089 (2023) - [i7]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i6]Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR abs/2308.07733 (2023) - [i5]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. CoRR abs/2309.11276 (2023) - [i4]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR abs/2310.10292 (2023) - [i3]Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. CoRR abs/2310.12004 (2023) - 2022
- [c4]Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han:
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR 2022: 18791-18801 - [c3]Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS 2022 - [i2]Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han:
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR abs/2204.03257 (2022) - 2021
- [j5]Jinxi Xiang, Yonggui Dong, Yunjie Yang:
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. IEEE Trans. Medical Imaging 40(5): 1329-1339 (2021) - [i1]Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang:
Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. CoRR abs/2105.12924 (2021) - 2020
- [j4]Jinxi Xiang, Yonggui Dong, Yunjie Yang:
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning. IEEE Trans. Medical Imaging 39(12): 4102-4112 (2020) - [c2]Jinxi Xiang, Zhou Chen, Yonggui Dong, Yunjie Yang:
Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model. I2MTC 2020: 1-6
2010 – 2019
- 2019
- [j3]Jinxi Xiang, Yonggui Dong, Maomao Zhang, Yi Li:
Design of a Magnetic Induction Tomography System by Gradiometer Coils for Conductive Fluid Imaging. IEEE Access 7: 56733-56744 (2019) - [j2]Jinxi Xiang, Yonggui Dong, Xiaohui Xue, Hao Xiong:
Electronics of a Wearable ECG With Level Crossing Sampling and Human Body Communication. IEEE Trans. Biomed. Circuits Syst. 13(1): 68-79 (2019) - 2018
- [j1]Zhongjie Hou, Jinxi Xiang, Yonggui Dong, Xiaohui Xue, Hao Xiong, Bin Yang:
Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes. Sensors 18(9): 2835 (2018) - [c1]Jinxi Xiang, Hao Xiong, Yonggui Dong:
Magnetic Induction Sensing with a Gradiometer Coil and Measurement Circuit. IEEE SENSORS 2018: 1-3
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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