Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.13273
Cited By
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
29 November 2019
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation"
50 / 73 papers shown
Title
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
I. Isler
David Mohaisen
C. Lisle
D. Turgut
Ulas Bagci
31
0
0
16 Apr 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization
Wei Yao
Wenkai Yang
ziqi wang
Yankai Lin
Yong Liu
ELM
105
1
0
03 Feb 2025
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
41
0
0
23 Dec 2024
Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching
Arnav Kharbanda
Advait Chandorkar
UQCV
67
0
0
02 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
Trends, Challenges, and Future Directions in Deep Learning for Glaucoma: A Systematic Review
Mahtab Faraji
Homa Rashidisabet
George R. Nahass
R. Chan
Thasarat S Vajaranant
Darvin Yi
32
0
0
07 Nov 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
LM&MA
72
3
0
24 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
N. Hoekstra
Klaus Hildebrandt
Marius Staring
UQCV
24
0
0
05 Sep 2024
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
A. Fayjie
Jutika Borah
F. Carbone
Jan Tack
Patrick Vandewalle
OOD
UQCV
33
2
0
15 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Austin Castelo
Mais Al Taie
Mohamed Eltaher
...
Nakul Gupta
David Victor
Laura Beretta
Ankit B. Patel
Kristy K. Brock
OOD
29
0
0
05 Aug 2024
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
32
5
0
28 Jun 2024
Test-Time Generative Augmentation for Medical Image Segmentation
Xiao Ma
Yuhui Tao
Yuhan Zhang
Zexuan Ji
Yizhe Zhang
Qiang Chen
MedIm
44
0
0
25 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
68
1
0
06 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
M. Zenk
David Zimmerer
Fabian Isensee
Jeremias Traub
T. Norajitra
Paul F. Jäger
Klaus H. Maier-Hein
51
4
0
05 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
39
4
0
30 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
42
5
0
28 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
50
5
0
25 Mar 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation
Theodore Barfoot
Luis C. García-Peraza-Herrera
Ben Glocker
Tom Vercauteren
UQCV
43
3
0
11 Mar 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
Yidong Zhao
João Tourais
Iain Pierce
Christian Nitsche
T. Treibel
Sebastian Weingartner
Artur M. Schweidtmann
Qian Tao
BDL
UQCV
43
5
0
04 Mar 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects
Florian Bley
Sebastian Lapuschkin
Wojciech Samek
G. Montavon
32
2
0
30 Jan 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
42
5
0
25 Jan 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Jan Küchler
Daniel Kröll
S. Schoenen
Andreas Witte
UQCV
37
1
0
17 Jan 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl
Carsten T. Lüth
M. Zenk
Klaus Maier-Hein
Paul F. Jaeger
UQCV
27
16
0
16 Jan 2024
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye
Xiaoqing Zhang
Yan Hu
Huazhu Fu
Jiang-Dong Liu
40
4
0
20 Dec 2023
Deep Active Perception for Object Detection using Navigation Proposals
Stefanos Ginargiros
Nikolaos Passalis
Anastasios Tefas
ObjD
18
0
0
15 Dec 2023
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model
Yizhe Zhang
Shuo Wang
Tao Zhou
Qingquan Dou
D. Z. Chen
35
1
0
15 Dec 2023
On the Overconfidence Problem in Semantic 3D Mapping
J. M. C. Marques
Albert Zhai
Shenlong Wang
Kris K. Hauser
3DPC
21
5
0
16 Nov 2023
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
38
20
0
09 Oct 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification
A. Sambyal
Usma Niyaz
N. C. Krishnan
Deepti R. Bathula
14
7
0
22 Sep 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time
Isak Meding
Alexander Bodin
Adam Tonderski
Joakim Johnander
Christoffer Petersson
Lennart Svensson
OOD
UQCV
11
1
0
20 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
31
4
0
14 Sep 2023
Bayesian uncertainty-weighted loss for improved generalisability on polyp segmentation task
Rebecca S Stone
P. E. Chavarrias-Solano
A. Bulpitt
David C. Hogg
Sharib Ali
UQCV
46
0
0
13 Sep 2023
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets
D. M. Yalcinkaya
Khalid Youssef
Bobak Heydari
Orlando Simonetti
R. Dharmakumar
Subha V. Raman
Behzad Sharif
7
0
0
25 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
Hyekang Park
Jongyoun Noh
Youngmin Oh
Donghyeon Baek
Bumsub Ham
UQCV
36
12
0
23 Aug 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
Chen Li
Xiaoling Hu
Shahira Abousamra
Chao Chen
26
20
0
19 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Elhabian
UQCV
18
5
0
15 Aug 2023
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
19
3
0
16 Jul 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
43
86
0
16 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
30
12
0
11 Feb 2023
DOMINO: Domain-aware Loss for Deep Learning Calibration
Skylar E. Stolte
Kyle Volle
A. Indahlastari
Alejandro Albizu
A. Woods
Kevin Brink
Matthew Hale
R. Fang
MedIm
13
1
0
10 Feb 2023
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
F. Uslu
Anil A. Bharath
39
14
0
21 Dec 2022
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
Kazuma Hashimoto
Iftekhar Naim
K. Raman
UQLM
29
2
0
21 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
S. Mohammadzadeh
Peerasait Prachaseree
Emma Lejeune
AI4CE
34
2
0
01 Dec 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCV
OOD
56
4
0
10 Nov 2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
28
2
0
01 Nov 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation
Ralf Römer
Armin Lederer
Samuel Tesfazgi
Sandra Hirche
23
2
0
14 Sep 2022
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Adrian Galdran
G. Carneiro
M. A. G. Ballester
OOD
21
17
0
13 Sep 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Cheng Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
21
4
0
04 Aug 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores
Zeju Li
Konstantinos Kamnitsas
Mobarakol Islam
Chen Chen
Ben Glocker
30
9
0
20 Jul 2022
1
2
Next