{"list":"other","total":61,"rows":[{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"1901.05103","title":"DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation","created":"2019-01-16","cited_by_count":2689},{"id":"1606.04797","title":"V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation","created":"2016-06-15","cited_by_count":2292},{"id":"1805.01978","title":"Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination","created":"2018-05-05","cited_by_count":1845},{"id":"1412.6550","title":"FitNets: Hints for Thin Deep Nets","created":"2014-12-19","cited_by_count":1653},{"id":"1603.09246","title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","created":"2016-03-30","cited_by_count":1382},{"id":"1906.05849","title":"Contrastive Multiview Coding","created":"2019-06-13","cited_by_count":1301},{"id":"1808.06670","title":"Learning deep representations by mutual information estimation and maximization","created":"2018-08-20","cited_by_count":1273},{"id":"1505.05192","title":"Unsupervised Visual Representation Learning by Context Prediction","created":"2015-05-19","cited_by_count":1066},{"id":"1610.02242","title":"Temporal Ensembling for Semi-Supervised Learning","created":"2016-10-07","cited_by_count":1057},{"id":"1912.01991","title":"Self-Supervised Learning of Pretext-Invariant Representations","created":"2019-12-04","cited_by_count":808},{"id":"1706.00384","title":"Deep Mutual Learning","created":"2017-06-01","cited_by_count":628},{"id":"1811.12833","title":"ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation","created":"2018-11-30","cited_by_count":623},{"id":"1706.02515","title":"Self-Normalizing Neural Networks","created":"2017-06-08","cited_by_count":598},{"id":"1805.04770","title":"Born Again Neural Networks","created":"2018-05-12","cited_by_count":546},{"id":"1703.01780","title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","created":"2017-03-06","cited_by_count":472},{"id":"2106.01226","title":"Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision","created":"2021-06-02","cited_by_count":463},{"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":"2006.10511","title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","created":"2020-06-18","cited_by_count":309},{"id":"1903.04197","title":"Structured Knowledge Distillation for Dense Prediction","created":"2019-03-11","cited_by_count":279},{"id":"1903.03825","title":"Interpolation Consistency Training for Semi-Supervised Learning","created":"2019-03-09","cited_by_count":251},{"id":"2009.04448","title":"Semi-supervised Medical Image Segmentation through Dual-task Consistency","created":"2020-09-09","cited_by_count":216},{"id":"2002.07017","title":"Learning Robust Representations via Multi-View Information Bottleneck","created":"2020-02-17","cited_by_count":191},{"id":"1703.02391","title":"Learning from Noisy Labels with Distillation","created":"2017-03-07","cited_by_count":161},{"id":"1908.06912","title":"Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis","created":"2019-08-19","cited_by_count":159},{"id":"2007.10732","title":"Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images","created":"2020-07-21","cited_by_count":152},{"id":"1803.05984","title":"Deep Co-Training for Semi-Supervised Image Recognition","created":"2018-03-15","cited_by_count":147},{"id":"1903.00348","title":"Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation","created":"2019-02-28","cited_by_count":140},{"id":"2006.03829","title":"3D Self-Supervised Methods for Medical Imaging","created":"2020-06-06","cited_by_count":134},{"id":"1812.00123","title":"Snapshot Distillation: Teacher-Student Optimization in One Generation","created":"2018-12-01","cited_by_count":99},{"id":"1904.06346","title":"Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation","created":"2019-04-12","cited_by_count":88},{"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":"1910.02241","title":"Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube","created":"2019-10-05","cited_by_count":76},{"id":"1911.01218","title":"Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations","created":"2019-11-04","cited_by_count":71},{"id":"1907.02757","title":"Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction","created":"2019-07-05","cited_by_count":70},{"id":"2108.00622","title":"Recurrent Mask Refinement for Few-Shot Medical Image Segmentation","created":"2021-08-02","cited_by_count":63},{"id":"1912.03383","title":"Deep Distance Transform for Tubular Structure Segmentation in CT Scans","created":"2019-12-06","cited_by_count":52},{"id":"2105.07059","title":"Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation","created":"2021-05-14","cited_by_count":49},{"id":"1808.03887","title":"Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model","created":"2018-08-12","cited_by_count":45},{"id":"1912.03849","title":"Shape-Aware Organ Segmentation by Predicting Signed Distance Maps","created":"2019-12-09","cited_by_count":41},{"id":"2105.07381","title":"Undistillable: Making A Nasty Teacher That CANNOT teach students","created":"2021-05-16","cited_by_count":36},{"id":"2010.08923","title":"Towards Data Distillation for End-to-end Spoken Conversational Question Answering","created":"2020-10-18","cited_by_count":35},{"id":"1810.08476","title":"Improving Fast Segmentation With Teacher-student Learning","created":"2018-10-19","cited_by_count":34},{"id":"2107.13741","title":"Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels","created":"2021-07-29","cited_by_count":32},{"id":"2010.11067","title":"Knowledge Distillation for Improved Accuracy in Spoken Question Answering","created":"2020-10-21","cited_by_count":31},{"id":"1902.04099","title":"Psi-Net: Shape and boundary aware joint multi-task deep network for medical image segmentation","created":"2019-02-11","cited_by_count":30},{"id":"2009.02831","title":"Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation","created":"2020-09-06","cited_by_count":28},{"id":"2106.02182","title":"Self-supervised Dialogue Learning for Spoken Conversational Question Answering","created":"2021-06-04","cited_by_count":28},{"id":"2010.11066","title":"Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering","created":"2020-10-21","cited_by_count":27},{"id":"1907.11320","title":"NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation","created":"2019-07-25","cited_by_count":22},{"id":"2104.14037","title":"Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks","created":"2021-04-28","cited_by_count":22},{"id":"2012.09279","title":"Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation","created":"2020-12-16","cited_by_count":16},{"id":"1901.01238","title":"A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation","created":"2019-01-04","cited_by_count":13},{"id":"2009.13627","title":"Fully Automated Left Atrium Segmentation from Anatomical Cine Long-axis MRI Sequences using Deep Convolutional Neural Network with Unscented Kalman Filter","created":"2020-09-28","cited_by_count":9},{"id":"2008.07770","title":"Fully automated deep learning based segmentation of normal, infarcted and edema regions from multiple cardiac MRI sequences","created":"2020-08-18","cited_by_count":8},{"id":"2101.02375","title":"Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation","created":"2021-01-07","cited_by_count":8},{"id":"1907.11483","title":"Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images","created":"2019-07-26","cited_by_count":5},{"id":"2001.04446","title":"AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets","created":"2020-01-13","cited_by_count":4}],"next_cursor":null}