ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.07716
  4. Cited By
Interactive Medical Image Segmentation with Self-Adaptive Confidence
  Calibration

Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration

15 November 2021
Wenhao Li
Qisen Xu
Chuyun Shen
Bin Hu
Fengping Zhu
Yuxin Li
Bo Jin
Xiangfeng Wang
ArXivPDFHTML

Papers citing "Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration"

6 / 6 papers shown
Title
Interactive 3D Medical Image Segmentation with SAM 2
Interactive 3D Medical Image Segmentation with SAM 2
Chuyun Shen
Wenhao Li
Yuhang Shi
Xiangfeng Wang
VLM
MedIm
28
13
0
05 Aug 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and
  Taxonomy
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Zdravko Marinov
Paul F. Jäger
Jan Egger
Jens Kleesiek
Rainer Stiefelhagen
32
17
0
23 Nov 2023
Temporally-Extended Prompts Optimization for SAM in Interactive Medical
  Image Segmentation
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation
Chuyun Shen
Wenhao Li
Ya-Qin Zhang
Xiangfeng Wang
VLM
LLMAG
MedIm
18
6
0
15 Jun 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image
  Segmentation with Multi-agent Reinforcement Learning
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma
Qisen Xu
Xiangfeng Wang
Bo Jin
Xiaoyun Zhang
Yanfeng Wang
Ya-Qin Zhang
27
22
0
19 Mar 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1