{"list":"other","total":54,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"id":"2212.13138","title":"Large Language Models Encode Clinical Knowledge","created":"2022-12-26","cited_by_count":1830},{"id":"1506.02025","title":"Spatial Transformer Networks","created":"2015-06-05","cited_by_count":1429},{"id":"2107.06278","title":"Per-Pixel Classification is Not All You Need for Semantic Segmentation","created":"2021-07-13","cited_by_count":1152},{"id":"2104.13921","title":"Open-vocabulary Object Detection via Vision and Language Knowledge Distillation","created":"2021-04-28","cited_by_count":906},{"id":"1809.05231","title":"VoxelMorph: A Learning Framework for Deformable Medical Image Registration","created":"2018-09-14","cited_by_count":662},{"id":"2112.01071","title":"Extract Free Dense Labels from CLIP","created":"2021-12-02","cited_by_count":583},{"id":"2210.10163","title":"MedCLIP: Contrastive Learning from Unpaired Medical Images and Text","created":"2022-10-18","cited_by_count":570},{"id":"1701.04128","title":"Understanding the Effective Receptive Field in Deep Convolutional Neural Networks","created":"2017-01-15","cited_by_count":553},{"id":"2112.01518","title":"DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting","created":"2021-12-02","cited_by_count":532},{"id":"2112.10003","title":"Image Segmentation Using Text and Image Prompts","created":"2021-12-18","cited_by_count":512},{"id":"2111.14791","title":"Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis","created":"2021-11-29","cited_by_count":422},{"id":"2111.15174","title":"CRIS: CLIP-Driven Referring Image Segmentation","created":"2021-11-30","cited_by_count":353},{"id":"1807.03247","title":"An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution","created":"2018-07-09","cited_by_count":307},{"id":"2301.00785","title":"CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection","created":"2023-01-02","cited_by_count":224},{"id":"1903.03545","title":"Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces","created":"2019-03-08","cited_by_count":186},{"id":"2001.08248","title":"How Much Position Information Do Convolutional Neural Networks Encode?","created":"2020-01-22","cited_by_count":172},{"id":"2203.06717","title":"Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs","created":"2022-03-13","cited_by_count":155},{"id":"1802.02604","title":"An Unsupervised Learning Model for Deformable Medical Image Registration","created":"2018-02-07","cited_by_count":150},{"id":"2301.02228","title":"MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology","created":"2023-01-05","cited_by_count":149},{"id":"2003.07064","title":"On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location","created":"2020-03-16","cited_by_count":142},{"id":"2006.16148","title":"Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks","created":"2020-06-29","cited_by_count":136},{"id":"2112.04489","title":"Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning","created":"2021-12-08","cited_by_count":125},{"id":"1903.02026","title":"Deep Learning in Medical Image Registration: A Survey","created":"2019-03-05","cited_by_count":124},{"id":"1805.04605","title":"Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration","created":"2018-05-11","cited_by_count":116},{"id":"1907.12353","title":"Recursive Cascaded Networks for Unsupervised Medical Image Registration","created":"2019-07-29","cited_by_count":105},{"id":"2012.02383","title":"SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images","created":"2020-12-04","cited_by_count":67},{"id":"1909.11966","title":"Dual-Stream Pyramid Registration Network","created":"2019-09-26","cited_by_count":52},{"id":"2206.07349","title":"XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention","created":"2022-06-15","cited_by_count":46},{"id":"2204.06107","title":"Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity","created":"2022-04-12","cited_by_count":41},{"id":"1903.03148","title":"Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation","created":"2019-03-07","cited_by_count":40},{"id":"2112.03053","title":"Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021","created":"2021-12-06","cited_by_count":40},{"id":"2208.01924","title":"Per-Clip Video Object Segmentation","created":"2022-08-03","cited_by_count":40},{"id":"2208.04939","title":"U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?","created":"2022-08-07","cited_by_count":40},{"id":"2004.02097","title":"DeepFLASH: An Efficient Network for Learning-based Medical Image Registration","created":"2020-04-05","cited_by_count":37},{"id":"2203.15216","title":"Affine Medical Image Registration with Coarse-to-Fine Vision Transformer","created":"2022-03-29","cited_by_count":35},{"id":"2002.02959","title":"Revisiting Spatial Invariance with Low-Rank Local Connectivity","created":"2020-02-07","cited_by_count":29},{"id":"2011.14372","title":"CNN-based Lung CT Registration with Multiple Anatomical Constraints","created":"2020-11-29","cited_by_count":26},{"id":"2105.12227","title":"Learning a Model-Driven Variational Network for Deformable Image Registration","created":"2021-05-25","cited_by_count":25},{"id":"2211.16342","title":"Fourier-Net: Fast Image Registration with Band-limited Deformation","created":"2022-11-29","cited_by_count":22},{"id":"2109.11572","title":"SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings","created":"2021-09-23","cited_by_count":21},{"id":"2203.03626","title":"Coordinate Translator for Learning Deformable Medical Image Registration","created":"2022-03-05","cited_by_count":20},{"id":"2107.04440","title":"A Deep Discontinuity-Preserving Image Registration Network","created":"2021-07-09","cited_by_count":17},{"id":"2308.06531","title":"SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning","created":"2023-08-12","cited_by_count":17},{"id":"2307.09727","title":"SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid","created":"2023-07-19","cited_by_count":14},{"id":"2301.07895","title":"Spatially Covariant Lesion Segmentation","created":"2023-01-19","cited_by_count":10},{"id":"2303.08434","title":"DeDA: Deep Directed Accumulator","created":"2023-03-15","cited_by_count":5}],"next_cursor":null}