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v1v2 (latest)

On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 3,759 papers shown

Title
DomainAdaptor: A Novel Approach to Test-time AdaptationIEEE International Conference on Computer Vision (ICCV), 2023 Jian Zhang Lei Qi Yinghuan Shi Yang Gao OOD TTA 169 25 0 20 Aug 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield D. Wolf Markus Ulrich Nikhil Kapoor 159 3 0 19 Aug 2023
Can ultrasound confidence maps predict sonographers' labeling variability? Vanessa Gonzalez Duque Leonhard Zirus Yordanka Velikova Nassir Navab Diana Mateus 176 0 0 18 Aug 2023
Accelerated materials language processing enabled by GPT Jaewoong Choi Byungju Lee AI4CE 117 5 0 18 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-MarginsComputer Vision and Pattern Recognition (CVPR), 2023 Tiberiu Sosea Cornelia Caragea 190 19 0 17 Aug 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition Jialin Guo Zhenyu Wu Zhiqiang Zhan Yang Ji 81 1 0 16 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 237 24 0 15 Aug 2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Xiaoyang Ruan Liwei Wang C. Thongprayoon W. Cheungpasitporn Hongfang Liu OOD 87 5 0 14 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 222 1 0 14 Aug 2023
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are MisleadingInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2023 Evan Crothers H. Viktor Nathalie Japkowicz AAML 153 1 0 13 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 200 1 0 11 Aug 2023
Revisiting N-CNN for Clinical Practice Leonardo Antunes Ferreira L. Carlini Gabriel A. S. Coutrin T. M. Heideirich Marina C. M. Barros R. Guinsburg C.E.P. Thomaz 31 0 0 10 Aug 2023
A Neural Network Based Choice Model for Assortment Optimization Hanrui Wang Zhongze Cai Xiaocheng Li Kalyan Talluri 109 4 0 10 Aug 2023
$$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns$ $\mathcal{G}^2Pxy$ : Generative Open-Set Node Classification on Graphs with Proxy UnknownsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Qin Zhang Zelin Shi Xiaolin Zhang Xiaojun Chen Philippe Fournier-Viger Shirui Pan 124 12 0 10 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effortNeural Information Processing Systems (NeurIPS), 2023 Sara Sangalli Ertunc Erdil E. Konukoglu 183 7 0 09 Aug 2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal PredictionIEEE Transactions on Signal Processing (IEEE TSP), 2023 Meiyi Zhu Matteo Zecchin Sangwoo Park Caili Guo Chunyan Feng Osvaldo Simeone FedML 314 12 0 08 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge DistillationIEEE International Conference on Computer Vision (ICCV), 2023 Dongyoon Yang Insung Kong Yongdai Kim 165 5 0 08 Aug 2023
Trusting Language Models in Education J. Neto Li-Ming Deng Thejaswi Raya Reza Shahbazi Nick Liu Adhitya Venkatesh Miral Shah Neeru Khosla Rodrigo Guido 89 0 0 07 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 160 8 0 07 Aug 2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network CalibrationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 179 17 0 06 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorACM Multimedia (ACM MM), 2023 Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 292 19 0 06 Aug 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 162 7 0 04 Aug 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 220 15 0 03 Aug 2023
LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance Matan Solomon Bar Genossar Roee Shraga A. Gal 89 0 0 03 Aug 2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-DrivingComputer Vision and Pattern Recognition (CVPR), 2023 Ben Agro Quinlan Sykora Sergio Casas R. Urtasun 179 39 0 02 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 536 73 0 02 Aug 2023
Learning to Generate Training Datasets for Robust Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 271 4 0 01 Aug 2023
Shape Completion with Prediction of Uncertain RegionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Matthias Humt Dominik Winkelbauer Ulrich Hillenbrand 119 5 0 01 Aug 2023
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene UnderstandingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Runyu Ding Jihan Yang Chuhui Xue Wenqing Zhang Song Bai Xiaojuan Qi 3DV VLM 173 43 0 01 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 464 63 0 28 Jul 2023
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images Benjamin Lambert Florence Forbes Senan Doyle M. Dojat MedIm 192 4 0 28 Jul 2023
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees D. C. Hoang Behzad Ousat Amin Kharraz Cuong V Nguyen AAML 218 1 0 27 Jul 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold AugmentationIEEE International Conference on Computer Vision (ICCV), 2023 Moon Ye-Bin Jisoo Kim Hong-Kyu Kim Kilho Son Tae-Hyun Oh 281 11 0 27 Jul 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 260 16 0 26 Jul 2023
Model Calibration in Dense Classification with Adaptive Label PerturbationIEEE International Conference on Computer Vision (ICCV), 2023 Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 327 6 0 25 Jul 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 207 7 0 24 Jul 2023
Rethinking Data Distillation: Do Not Overlook CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 329 18 0 24 Jul 2023
Geometry-Aware Adaptation for Pretrained ModelsNeural Information Processing Systems (NeurIPS), 2023 Nicholas Roberts Xintong Li Dyah Adila Sonia Cromp Tzu-Heng Huang Jitian Zhao Frederic Sala VLM 273 3 0 23 Jul 2023
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech DetectionAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Philippe Lammerts Philip Lippmann Yen-Chia Hsu Fabio Casati Jie Yang 122 0 0 21 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 181 16 0 21 Jul 2023
Making Pre-trained Language Models both Task-solvers and Self-calibratorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yangyi Chen Xingyao Wang Heng Ji 226 0 0 21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 308 10 0 20 Jul 2023
Confidence Estimation Using Unlabeled DataInternational Conference on Learning Representations (ICLR), 2023 Chen Li Xiaoling Hu Chao Chen UQCV 134 13 0 19 Jul 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source SamplesIEEE International Conference on Computer Vision (ICCV), 2023 JoonHo Lee J. Woo H. Moon Kwonho Lee 199 4 0 19 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic SegmentationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2023 S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 148 15 0 19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious FeaturesNeural Information Processing Systems (NeurIPS), 2023 Cian Eastwood Shashank Singh Andrei Liviu Nicolicioiu Marin Vlastelica Julius von Kügelgen Bernhard Schölkopf OOD 243 25 0 19 Jul 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation Mochu Xiang Jing Zhang Nick Barnes Yuchao Dai UQCV 165 6 0 19 Jul 2023
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationKnowledge Discovery and Data Mining (KDD), 2023 Longfeng Wu Bowen Lei Dongkuan Xu Dawei Zhou UQCV CML 141 11 0 19 Jul 2023
Isotonic conditional lawsBernoulli (Bernoulli), 2023 Sebastian Arnold J. Ziegel 203 3 0 18 Jul 2023
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical KnowledgeInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2023 Ron Keuth M. Heinrich Martin Eichenlaub Marian Himstedt 97 9 0 17 Jul 2023

v1v2 (latest)

On Calibration of Modern Neural Networks

International Conference on Machine Learning (ICML), 2017

14 June 2017

Papers citing "On Calibration of Modern Neural Networks"

50 / 3,759 papers shown

Title
DomainAdaptor: A Novel Approach to Test-time AdaptationIEEE International Conference on Computer Vision (ICCV), 2023 Jian Zhang Lei Qi Yinghuan Shi Yang Gao OOD TTA 169 25 0 20 Aug 2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield D. Wolf Markus Ulrich Nikhil Kapoor 159 3 0 19 Aug 2023
Can ultrasound confidence maps predict sonographers' labeling variability? Vanessa Gonzalez Duque Leonhard Zirus Yordanka Velikova Nassir Navab Diana Mateus 176 0 0 18 Aug 2023
Accelerated materials language processing enabled by GPT Jaewoong Choi Byungju Lee AI4CE 117 5 0 18 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-MarginsComputer Vision and Pattern Recognition (CVPR), 2023 Tiberiu Sosea Cornelia Caragea 190 19 0 17 Aug 2023
Dual-Branch Temperature Scaling Calibration for Long-Tailed Recognition Jialin Guo Zhenyu Wu Zhiqiang Zhan Yang Ji 81 1 0 16 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023 Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 237 24 0 15 Aug 2023
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Xiaoyang Ruan Liwei Wang C. Thongprayoon W. Cheungpasitporn Hongfang Liu OOD 87 5 0 14 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate Shift Mélanie Roschewitz Ben Glocker 222 1 0 14 Aug 2023
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are MisleadingInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2023 Evan Crothers H. Viktor Nathalie Japkowicz AAML 153 1 0 13 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 200 1 0 11 Aug 2023
Revisiting N-CNN for Clinical Practice Leonardo Antunes Ferreira L. Carlini Gabriel A. S. Coutrin T. M. Heideirich Marina C. M. Barros R. Guinsburg C.E.P. Thomaz 31 0 0 10 Aug 2023
A Neural Network Based Choice Model for Assortment Optimization Hanrui Wang Zhongze Cai Xiaocheng Li Kalyan Talluri 109 4 0 10 Aug 2023
$$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns$ $\mathcal{G}^2Pxy$ : Generative Open-Set Node Classification on Graphs with Proxy UnknownsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Qin Zhang Zelin Shi Xiaolin Zhang Xiaojun Chen Philippe Fournier-Viger Shirui Pan 124 12 0 10 Aug 2023
Expert load matters: operating networks at high accuracy and low manual effortNeural Information Processing Systems (NeurIPS), 2023 Sara Sangalli Ertunc Erdil E. Konukoglu 183 7 0 09 Aug 2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal PredictionIEEE Transactions on Signal Processing (IEEE TSP), 2023 Meiyi Zhu Matteo Zecchin Sangwoo Park Caili Guo Chunyan Feng Osvaldo Simeone FedML 314 12 0 08 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge DistillationIEEE International Conference on Computer Vision (ICCV), 2023 Dongyoon Yang Insung Kong Yongdai Kim 165 5 0 08 Aug 2023
Trusting Language Models in Education J. Neto Li-Ming Deng Thejaswi Raya Reza Shahbazi Nick Liu Adhitya Venkatesh Miral Shah Neeru Khosla Rodrigo Guido 89 0 0 07 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 160 8 0 07 Aug 2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network CalibrationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 179 17 0 06 Aug 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorACM Multimedia (ACM MM), 2023 Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 292 19 0 06 Aug 2023
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation M. Dreissig Florian Piewak Joschka Boedecker UQCV 162 7 0 04 Aug 2023
UGainS: Uncertainty Guided Anomaly Instance Segmentation Alexey Nekrasov Alexander Hermans L. Kuhnert Bastian Leibe 220 15 0 03 Aug 2023
LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance Matan Solomon Bar Genossar Roee Shraga A. Gal 89 0 0 03 Aug 2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-DrivingComputer Vision and Pattern Recognition (CVPR), 2023 Ben Agro Quinlan Sykora Sergio Casas R. Urtasun 179 39 0 02 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 536 73 0 02 Aug 2023
Learning to Generate Training Datasets for Robust Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 271 4 0 01 Aug 2023
Shape Completion with Prediction of Uncertain RegionsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Matthias Humt Dominik Winkelbauer Ulrich Hillenbrand 119 5 0 01 Aug 2023
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene UnderstandingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Runyu Ding Jihan Yang Chuhui Xue Wenqing Zhang Song Bai Xiaojuan Qi 3DV VLM 173 43 0 01 Aug 2023
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan Nico Daheim Evgenia Ilia Dennis Ulmer Haau-Sing Li Raquel Fernández Barbara Plank Rico Sennrich Chrysoula Zerva Wilker Aziz UQLM 464 63 0 28 Jul 2023
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images Benjamin Lambert Florence Forbes Senan Doyle M. Dojat MedIm 192 4 0 28 Jul 2023
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees D. C. Hoang Behzad Ousat Amin Kharraz Cuong V Nguyen AAML 218 1 0 27 Jul 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold AugmentationIEEE International Conference on Computer Vision (ICCV), 2023 Moon Ye-Bin Jisoo Kim Hong-Kyu Kim Kilho Son Tae-Hyun Oh 281 11 0 27 Jul 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 260 16 0 26 Jul 2023
Model Calibration in Dense Classification with Adaptive Label PerturbationIEEE International Conference on Computer Vision (ICCV), 2023 Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 327 6 0 25 Jul 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 207 7 0 24 Jul 2023
Rethinking Data Distillation: Do Not Overlook CalibrationIEEE International Conference on Computer Vision (ICCV), 2023 Dongyao Zhu Bowen Lei Jie M. Zhang Yanbo Fang Ruqi Zhang Yiqun Xie Dongkuan Xu DD FedML 329 18 0 24 Jul 2023
Geometry-Aware Adaptation for Pretrained ModelsNeural Information Processing Systems (NeurIPS), 2023 Nicholas Roberts Xintong Li Dyah Adila Sonia Cromp Tzu-Heng Huang Jitian Zhao Frederic Sala VLM 273 3 0 23 Jul 2023
How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech DetectionAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Philippe Lammerts Philip Lippmann Yen-Chia Hsu Fabio Casati Jie Yang 122 0 0 21 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 181 16 0 21 Jul 2023
Making Pre-trained Language Models both Task-solvers and Self-calibratorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Yangyi Chen Xingyao Wang Heng Ji 226 0 0 21 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 308 10 0 20 Jul 2023
Confidence Estimation Using Unlabeled DataInternational Conference on Learning Representations (ICLR), 2023 Chen Li Xiaoling Hu Chao Chen UQCV 134 13 0 19 Jul 2023
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source SamplesIEEE International Conference on Computer Vision (ICCV), 2023 JoonHo Lee J. Woo H. Moon Kwonho Lee 199 4 0 19 Jul 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic SegmentationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals), 2023 S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 148 15 0 19 Jul 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious FeaturesNeural Information Processing Systems (NeurIPS), 2023 Cian Eastwood Shashank Singh Andrei Liviu Nicolicioiu Marin Vlastelica Julius von Kügelgen Bernhard Schölkopf OOD 243 25 0 19 Jul 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation Mochu Xiang Jing Zhang Nick Barnes Yuchao Dai UQCV 165 6 0 19 Jul 2023
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationKnowledge Discovery and Data Mining (KDD), 2023 Longfeng Wu Bowen Lei Dongkuan Xu Dawei Zhou UQCV CML 141 11 0 19 Jul 2023
Isotonic conditional lawsBernoulli (Bernoulli), 2023 Sebastian Arnold J. Ziegel 203 3 0 18 Jul 2023
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical KnowledgeInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2023 Ron Keuth M. Heinrich Martin Eichenlaub Marian Himstedt 97 9 0 17 Jul 2023