Direct Uncertainty Prediction for Medical Second Opinions

4 July 2018

Papers citing "Direct Uncertainty Prediction for Medical Second Opinions"

23 / 23 papers shown

Title
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 Guiyu Zhang Huan-ang Gao Zijian Jiang Hao Zhao Zhedong Zheng EGVM 52 6 0 15 Oct 2024
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection A. Benfenati P. Causin Hang Yu Zhedong Zheng 3DPC 46 2 0 01 Aug 2024
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 Anqi Mao M. Mohri Yutao Zhong 26 22 0 23 Oct 2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Kate Donahue Sreenivas Gollapudi Kostas Kollias 24 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 Loukas Ilias D. Askounis 28 9 0 25 May 2023
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification Xue Li Wei Shen Denis Xavier Charles UQCV EDL 35 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 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 Hidetoshi Kawaguchi Yuichi Nakatani S. Okada 22 3 0 19 Jul 2022
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 21 15 0 16 Mar 2022
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 21 10 0 16 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 36 43 0 22 Nov 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis Jessie Liu B. Gallego S. Barbieri 11 14 0 17 Aug 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 29 144 0 09 Jul 2021
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 38 1,109 0 07 Jul 2021
Rethinking Transfer Learning for Medical Image Classification Le Peng Hengyue Liang Gaoxiang Luo Taihui Li Ju Sun VLM LM&MA 14 5 0 09 Jun 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 26 63 0 16 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin 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 Rutwik Palaskar R. Vyas Vilas Khedekar S. Palaskar Pranjal Sahu 19 17 0 23 Nov 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 17 10 0 24 Oct 2020
Regression Under Human Assistance A. De Nastaran Okati Paramita Koley Niloy Ganguly Manuel Gomez Rodriguez 18 62 0 06 Sep 2019