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Improving Trustworthiness of AI Disease Severity Rating in Medical
  Imaging with Ordinal Conformal Prediction Sets

Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets

5 July 2022
Charles Lu
Anastasios Nikolas Angelopoulos
S. Pomerantz
ArXiv (abs)PDFHTML

Papers citing "Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets"

22 / 22 papers shown
Title
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
993
5
0
09 Oct 2024
Three Applications of Conformal Prediction for Rating Breast Density in
  Mammography
Three Applications of Conformal Prediction for Rating Breast Density in Mammography
Charles Lu
Ken Chang
Praveer Singh
Jayashree Kalpathy-Cramer
OODAI4CE
75
8
0
23 Jun 2022
Image-to-Image Regression with Distribution-Free Uncertainty
  Quantification and Applications in Imaging
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging
Anastasios Nikolas Angelopoulos
Amit Kohli
Stephen Bates
Michael I. Jordan
Jitendra Malik
Thayer Alshaabi
Srigokul Upadhyayula
Yaniv Romano
UQCVOOD
82
96
0
10 Feb 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
279
135
0
03 Oct 2021
Fair Conformal Predictors for Applications in Medical Imaging
Fair Conformal Predictors for Applications in Medical Imaging
Charles Lu
A. Lemay
Ken Chang
K. Hoebel
Jayashree Kalpathy-Cramer
MedIm
171
69
0
09 Sep 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free
  Uncertainty Quantification
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
213
624
0
15 Jul 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
106
367
0
15 Jun 2021
Conformal Prediction using Conditional Histograms
Conformal Prediction using Conditional Histograms
Matteo Sesia
Yaniv Romano
193
70
0
18 May 2021
Private Prediction Sets
Private Prediction Sets
Anastasios Nikolas Angelopoulos
Stephen Bates
Tijana Zrnic
Michael I. Jordan
65
12
0
11 Feb 2021
Distribution-Free, Risk-Controlling Prediction Sets
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates
Anastasios Nikolas Angelopoulos
Lihua Lei
Jitendra Malik
Michael I. Jordan
OOD
267
200
0
07 Jan 2021
Uncertainty as a Form of Transparency: Measuring, Communicating, and
  Using Uncertainty
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt
Javier Antorán
Yunfeng Zhang
Q. V. Liao
P. Sattigeri
...
L. Nachman
R. Chunara
Madhulika Srikumar
Adrian Weller
Alice Xiang
94
251
0
15 Nov 2020
Uncertainty Sets for Image Classifiers using Conformal Prediction
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos
Stephen Bates
Jitendra Malik
Michael I. Jordan
UQCV
210
338
0
29 Sep 2020
Classification with Valid and Adaptive Coverage
Classification with Valid and Adaptive Coverage
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
392
329
0
03 Jun 2020
Nested conformal prediction and quantile out-of-bag ensemble methods
Nested conformal prediction and quantile out-of-bag ensemble methods
Chirag Gupta
Arun K. Kuchibhotla
Aaditya Ramdas
MQ
189
120
0
23 Oct 2019
Uncertainty Quantification with Statistical Guarantees in End-to-End
  Autonomous Driving Control
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Matthew Wicker
Luca Laurenti
L. Cardelli
Y. Gal
Marta Z. Kwiatkowska
BDL
119
106
0
21 Sep 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
236
1,484
0
16 Jul 2019
Conformalized Quantile Regression
Conformalized Quantile Regression
Yaniv Romano
Evan Patterson
Emmanuel J. Candès
491
617
0
08 May 2019
The limits of distribution-free conditional predictive inference
The limits of distribution-free conditional predictive inference
Rina Foygel Barber
Emmanuel J. Candès
Aaditya Ramdas
Robert Tibshirani
UQCV
394
277
0
12 Mar 2019
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level
  Designation, and Spinal Stenosis Grading Using Deep Learning
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning
Jen-Tang Lu
S. Pedemonte
B. Bizzo
S. Doyle
Katherine P. Andriole
Mark H. Michalski
R. González
S. Pomerantz
57
45
0
26 Jul 2018
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
Mauricio Sadinle
Jing Lei
Larry A. Wasserman
191
252
0
02 Sep 2016
A Conformal Prediction Approach to Explore Functional Data
A Conformal Prediction Approach to Explore Functional Data
Jing Lei
Alessandro Rinaldo
Larry A. Wasserman
201
128
0
26 Feb 2013
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
456
1,151
0
21 Jun 2007
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