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Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot
  Learning Method With Dual Knowledge Distillation
v1v2 (latest)

Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation

IEEE International Symposium on Biomedical Imaging (ISBI), 2023
25 March 2023
Xiaoxiao He
Chaowei Tan
Bo Liu
Liping Si
Weiwu Yao
Bo Pan
Ding Liu
Qilong Zhangli
Qi Chang
Kang Li
Dimitris N. Metaxas
ArXiv (abs)PDFHTMLGithub (8★)

Papers citing "Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation"

11 / 11 papers shown
Large Sign Language Models: Toward 3D American Sign Language Translation
Large Sign Language Models: Toward 3D American Sign Language Translation
S. Zhang
Xiaoxiao He
Di Liu
Zhaoyang Xia
Mingyu Zhao
Chaowei Tan
Vivian Li
Bo Liu
Dimitris N. Metaxas
Mubbasir Kapadia
SLR
313
1
0
11 Nov 2025
Show and Segment: Universal Medical Image Segmentation via In-Context Learning
Show and Segment: Universal Medical Image Segmentation via In-Context LearningComputer Vision and Pattern Recognition (CVPR), 2025
Yunhe Gao
Di Liu
Zhuowei Li
You Li
DongDong Chen
Mu Zhou
Dimitris N. Metaxas
VLM
362
7
0
25 Mar 2025
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation
Ziqiao Weng
Weidong (Tom) Cai
Bo Zhou
389
0
0
23 Mar 2025
LUCAS: Layered Universal Codec Avatars
LUCAS: Layered Universal Codec AvatarsComputer Vision and Pattern Recognition (CVPR), 2025
Di Liu
Teng Deng
Giljoo Nam
Yu Rong
Stanislav Pidhorskyi
Junxuan Li
Jason M. Saragih
Dimitris N. Metaxas
Chen Cao
3DGS
397
5
0
27 Feb 2025
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation
Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation
Qilong Zhangli
Di Liu
Abhishek Aich
Dimitris Metaxas
S. Schulter
206
1
0
15 Sep 2024
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
Qilong Zhangli
Jindong Jiang
Di Liu
Licheng Yu
Xiaoliang Dai
Ankit Ramchandani
Guan Pang
Dimitris N. Metaxas
Praveen Krishnan
DiffM
465
15
0
03 Jun 2024
Instantaneous Perception of Moving Objects in 3D
Instantaneous Perception of Moving Objects in 3DComputer Vision and Pattern Recognition (CVPR), 2024
Di Liu
Bingbing Zhuang
Dimitris N. Metaxas
Manmohan Chandraker
3DPC
305
3
0
05 May 2024
Federated Distillation: A Survey
Federated Distillation: A Survey
Lin Li
Jianping Gou
Baosheng Yu
Lan Du
Zhang Yiand Dacheng Tao
DDFedML
335
23
0
02 Apr 2024
DeFormer: Integrating Transformers with Deformable Models for 3D Shape
  Abstraction from a Single Image
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single ImageIEEE International Conference on Computer Vision (ICCV), 2023
Ding Liu
Xiang Yu
Meng Ye
Qilong Zhangli
Zhuowei Li
Zhixing Zhang
Dimitris N. Metaxas
ViT
238
13
0
22 Sep 2023
Deep Deformable Models: Learning 3D Shape Abstractions with Part
  Consistency
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency
Ding Liu
Long Zhao
Qilong Zhangli
Yunhe Gao
Ting Liu
Dimitris N. Metaxas
3DV
257
7
0
02 Sep 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedMLOOD
504
272
0
09 Jun 2023
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