{"list":"other","total":132,"rows":[{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1706.04599","title":"On Calibration of Modern Neural Networks","created":"2017-06-14","cited_by_count":4960},{"id":"1506.02142","title":"Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning","created":"2015-06-06","cited_by_count":4448},{"id":"1612.01474","title":"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles","created":"2016-12-05","cited_by_count":3926},{"id":"1703.04977","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","created":"2017-03-15","cited_by_count":2352},{"id":"1901.07031","title":"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison","created":"2019-01-21","cited_by_count":1423},{"id":"1905.02249","title":"MixMatch: A Holistic Approach to Semi-Supervised Learning","created":"2019-05-06","cited_by_count":1391},{"id":"1906.02530","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","created":"2019-06-06","cited_by_count":1287},{"id":"1910.09457","title":"Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods","created":"2019-10-21","cited_by_count":913},{"id":"2006.10108","title":"Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness","created":"2020-06-17","cited_by_count":389},{"id":"1907.07034","title":"Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation","created":"2019-07-16","cited_by_count":379},{"id":"2007.06823","title":"Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users","created":"2020-07-14","cited_by_count":338},{"id":"1810.11654","title":"3D MRI brain tumor segmentation using autoencoder regularization","created":"2018-10-27","cited_by_count":328},{"id":"1809.10486","title":"nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation","created":"2018-09-27","cited_by_count":291},{"id":"2104.02395","title":"Ensemble deep learning: A review","created":"2021-04-06","cited_by_count":284},{"id":"1806.05034","title":"A Probabilistic U-Net for Segmentation of Ambiguous Images","created":"2018-06-13","cited_by_count":283},{"id":"1807.07356","title":"Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks","created":"2018-07-19","cited_by_count":280},{"id":"1911.13273","title":"Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation","created":"2019-11-29","cited_by_count":163},{"id":"1603.04042","title":"Deep Interactive Object Selection","created":"2016-03-13","cited_by_count":160},{"id":"1906.02506","title":"Practical Deep Learning with Bayesian Principles","created":"2019-06-06","cited_by_count":158},{"id":"1808.01200","title":"Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation","created":"2018-08-03","cited_by_count":146},{"id":"1903.00348","title":"Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation","created":"2019-02-28","cited_by_count":140},{"id":"1906.04045","title":"PHiSeg: Capturing Uncertainty in Medical Image Segmentation","created":"2019-06-07","cited_by_count":128},{"id":"1710.04043","title":"Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning","created":"2017-10-11","cited_by_count":111},{"id":"2012.07042","title":"Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency","created":"2020-12-13","cited_by_count":102},{"id":"2006.06015","title":"Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty","created":"2020-06-10","cited_by_count":101},{"id":"1612.00197","title":"Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses","created":"2016-12-01","cited_by_count":97},{"id":"2006.16806","title":"Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation","created":"2020-06-28","cited_by_count":81},{"id":"1907.03338","title":"Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation","created":"2019-07-07","cited_by_count":75},{"id":"1802.06455","title":"Bayesian Uncertainty Estimation for Batch Normalized Deep Networks","created":"2018-02-18","cited_by_count":70},{"id":"2110.08762","title":"Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation","created":"2021-10-17","cited_by_count":61},{"id":"1811.12506","title":"3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training","created":"2018-11-29","cited_by_count":58},{"id":"1812.03973","title":"Bayesian Layers: A Module for Neural Network Uncertainty","created":"2018-12-10","cited_by_count":57},{"id":"1902.03051","title":"Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition","created":"2019-02-08","cited_by_count":56},{"id":"2005.12734","title":"Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels","created":"2020-05-25","cited_by_count":56},{"id":"1901.11228","title":"Uncertainty Quantification in Deep MRI Reconstruction","created":"2019-01-31","cited_by_count":49},{"id":"2202.01479","title":"Bayesian MRI Reconstruction with Joint Uncertainty Estimation using Diffusion Models","created":"2022-02-03","cited_by_count":47},{"id":"1806.02562","title":"On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation","created":"2018-06-07","cited_by_count":46},{"id":"2003.10769","title":"Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection","created":"2020-03-22","cited_by_count":46},{"id":"2101.02323","title":"Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation","created":"2021-01-07","cited_by_count":45},{"id":"1807.00502","title":"Leveraging Uncertainty Estimates for Predicting Segmentation Quality","created":"2018-07-02","cited_by_count":44},{"id":"2010.09298","title":"Double-Uncertainty Weighted Method for Semi-supervised Learning","created":"2020-10-19","cited_by_count":44},{"id":"1905.12806","title":"Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT","created":"2019-05-29","cited_by_count":42},{"id":"1907.01949","title":"Supervised Uncertainty Quantification for Segmentation with Multiple Annotations","created":"2019-07-03","cited_by_count":42},{"id":"2103.16265","title":"Is segmentation uncertainty useful?","created":"2021-03-30","cited_by_count":37},{"id":"2204.04516","title":"Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology","created":"2022-04-09","cited_by_count":37},{"id":"1810.12241","title":"Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning","created":"2018-10-29","cited_by_count":36},{"id":"2104.05788","title":"Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations","created":"2021-04-12","cited_by_count":31},{"id":"1705.00664","title":"Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution","created":"2017-05-01","cited_by_count":30},{"id":"2102.06665","title":"Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction","created":"2021-02-12","cited_by_count":30},{"id":"2103.02083","title":"Uncertainty guided semi-supervised segmentation of retinal layers in OCT images","created":"2021-03-02","cited_by_count":29},{"id":"2112.10074","title":"QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results","created":"2021-12-19","cited_by_count":28},{"id":"1807.11719","title":"A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels","created":"2018-07-31","cited_by_count":27},{"id":"2007.04258","title":"Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment","created":"2020-07-08","cited_by_count":26},{"id":"2011.07221","title":"Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty","created":"2020-11-14","cited_by_count":26},{"id":"2012.05329","title":"Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fails at Reliable OOD Detection","created":"2020-12-09","cited_by_count":26},{"id":"1806.08640","title":"Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions","created":"2018-06-22","cited_by_count":25},{"id":"1910.11777","title":"DR$\\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images","created":"2019-10-25","cited_by_count":25},{"id":"2009.02759","title":"Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction","created":"2020-09-06","cited_by_count":25},{"id":"1906.07775","title":"Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment","created":"2019-06-18","cited_by_count":23},{"id":"2104.03225","title":"Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images","created":"2021-04-07","cited_by_count":22},{"id":"2112.02508","title":"Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation","created":"2021-12-05","cited_by_count":22},{"id":"2208.06038","title":"Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation","created":"2022-08-11","cited_by_count":21},{"id":"2012.11840","title":"Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection","created":"2020-12-22","cited_by_count":20},{"id":"1809.04282","title":"Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning","created":"2018-09-12","cited_by_count":19},{"id":"2010.14290","title":"Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation","created":"2020-10-27","cited_by_count":19},{"id":"2012.15772","title":"Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study","created":"2020-12-31","cited_by_count":19},{"id":"2212.06278","title":"Efficient Bayesian Uncertainty Estimation for nnU-Net","created":"2022-12-12","cited_by_count":19},{"id":"2008.08837","title":"Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior","created":"2020-08-20","cited_by_count":18},{"id":"2104.12376","title":"Recalibration of Aleatoric and Epistemic Regression Uncertainty in Medical Imaging","created":"2021-04-26","cited_by_count":18},{"id":"2107.09892","title":"Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data","created":"2021-07-21","cited_by_count":18},{"id":"2109.12622","title":"Using Soft Labels to Model Uncertainty in Medical Image Segmentation","created":"2021-09-26","cited_by_count":18},{"id":"2307.11397","title":"Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation","created":"2023-07-21","cited_by_count":17},{"id":"2007.00833","title":"Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices","created":"2020-07-02","cited_by_count":16},{"id":"2203.08878","title":"Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation","created":"2022-03-16","cited_by_count":15},{"id":"2303.03242","title":"Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis","created":"2023-03-06","cited_by_count":15},{"id":"2010.12575","title":"Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images","created":"2020-10-07","cited_by_count":13},{"id":"2202.07550","title":"Label fusion and training methods for reliable representation of inter-rater uncertainty","created":"2022-02-15","cited_by_count":13},{"id":"1911.00674","title":"On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment","created":"2019-11-02","cited_by_count":12},{"id":"2008.06332","title":"Integrating uncertainty in deep neural networks for MRI based stroke analysis","created":"2020-08-13","cited_by_count":12},{"id":"2008.10114","title":"Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)","created":"2020-08-23","cited_by_count":12},{"id":"2108.10709","title":"MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification","created":"2021-08-24","cited_by_count":12},{"id":"2201.13078","title":"Lymphoma segmentation from 3D PET-CT images using a deep evidential network","created":"2022-01-31","cited_by_count":12},{"id":"2206.11739","title":"Evidence fusion with contextual discounting for multi-modality medical image segmentation","created":"2022-06-23","cited_by_count":12},{"id":"2004.13294","title":"A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy","created":"2020-04-28","cited_by_count":11},{"id":"2012.09913","title":"Quantifying the unknown impact of segmentation uncertainty on image-based simulations","created":"2020-12-17","cited_by_count":11},{"id":"2102.00097","title":"Belief function-based semi-supervised learning for brain tumor segmentation","created":"2021-01-29","cited_by_count":11},{"id":"2204.02779","title":"A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation","created":"2022-04-05","cited_by_count":11},{"id":"2008.07588","title":"Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation","created":"2020-08-12","cited_by_count":10},{"id":"2206.07664","title":"CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation","created":"2022-06-15","cited_by_count":10},{"id":"2007.09971","title":"Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent","created":"2020-07-20","cited_by_count":9},{"id":"2104.03840","title":"Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond","created":"2021-04-08","cited_by_count":9},{"id":"2107.02433","title":"Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration","created":"2021-07-06","cited_by_count":9},{"id":"2109.10702","title":"A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation","created":"2021-09-22","cited_by_count":9},{"id":"2007.16102","title":"Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty","created":"2020-07-31","cited_by_count":8},{"id":"2104.13293","title":"Evidential segmentation of 3D PET/CT images","created":"2021-04-27","cited_by_count":8},{"id":"2105.08590","title":"UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection","created":"2021-05-18","cited_by_count":8},{"id":"2001.11927","title":"A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality","created":"2020-01-31","cited_by_count":7},{"id":"2206.06623","title":"ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment","created":"2022-06-14","cited_by_count":7},{"id":"2206.07795","title":"On Calibrated Model Uncertainty in Deep Learning","created":"2022-06-15","cited_by_count":7}],"next_cursor":"100"}