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Direct Uncertainty Prediction for Medical Second Opinions

Direct Uncertainty Prediction for Medical Second Opinions

4 July 2018
M. Raghu
Katy Blumer
Rory Sayres
Ziad Obermeyer
Robert D. Kleinberg
S. Mullainathan
Jon M. Kleinberg
    OOD
    UD
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Papers citing "Direct Uncertainty Prediction for Medical Second Opinions"

19 / 19 papers shown
Title
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
64
4
0
07 Nov 2024
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Guiyu Zhang
Huan-ang Gao
Zijian Jiang
Hao Zhao
Zhedong Zheng
EGVM
49
6
0
15 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object
  Detection
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
A. Benfenati
P. Causin
Hang Yu
Zhedong Zheng
3DPC
44
2
0
01 Aug 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
25
5
0
09 Feb 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
24
22
0
23 Oct 2023
When Are Two Lists Better than One?: Benefits and Harms in Joint
  Decision-making
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
Kate Donahue
Sreenivas Gollapudi
Kostas Kollias
18
3
0
22 Aug 2023
Context-aware attention layers coupled with optimal transport domain
  adaptation and multimodal fusion methods for recognizing dementia from
  spontaneous speech
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
Loukas Ilias
D. Askounis
26
9
0
25 May 2023
TEDL: A Two-stage Evidential Deep Learning Method for Classification
  Uncertainty Quantification
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li
Wei Shen
Denis Xavier Charles
UQCV
EDL
30
3
0
12 Sep 2022
A Semi-Supervised Algorithm for Improving the Consistency of
  Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder
  Classification
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Lara Orlandic
T. Teijeiro
David Atienza
41
9
0
09 Sep 2022
IDPS Signature Classification with a Reject Option and the Incorporation
  of Expert Knowledge
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge
Hidetoshi Kawaguchi
Yuichi Nakatani
S. Okada
20
3
0
19 Jul 2022
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation
Maria De-Arteaga
Alexandra Chouldechova
Artur Dubrawski
27
4
0
29 Apr 2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
16
15
0
16 Mar 2022
Benchmarking Uncertainty Quantification on Biosignal Classification
  Tasks under Dataset Shift
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift
Tong Xia
Jing Han
Cecilia Mascolo
OOD
18
10
0
16 Dec 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
24
144
0
09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
32
1,109
0
07 Jul 2021
Differentiable Learning Under Triage
Differentiable Learning Under Triage
Nastaran Okati
A. De
Manuel Gomez Rodriguez
24
63
0
16 Mar 2021
Improving Medical Image Classification with Label Noise Using
  Dual-uncertainty Estimation
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Lie Ju
Xin Eric Wang
Lin Wang
Dwarikanath Mahapatra
Xin Zhao
Mehrtash Harandi
Tom Drummond
Tongliang Liu
Z. Ge
NoLa
OOD
30
22
0
28 Feb 2021
Transfer Learning for Oral Cancer Detection using Microscopic Images
Transfer Learning for Oral Cancer Detection using Microscopic Images
Rutwik Palaskar
R. Vyas
Vilas Khedekar
S. Palaskar
Pranjal Sahu
14
17
0
23 Nov 2020
Regression Under Human Assistance
Regression Under Human Assistance
A. De
Nastaran Okati
Paramita Koley
Niloy Ganguly
Manuel Gomez Rodriguez
13
62
0
06 Sep 2019
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