{"list":"other","total":89,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1801.03924","title":"The Unreasonable Effectiveness of Deep Features as a Perceptual Metric","created":"2018-01-11","cited_by_count":11177},{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"1503.03585","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","created":"2015-03-12","cited_by_count":7058},{"id":"1711.00937","title":"Neural Discrete Representation Learning","created":"2017-11-02","cited_by_count":4712},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1705.07750","title":"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset","created":"2017-05-22","cited_by_count":3270},{"id":"2012.09841","title":"Taming Transformers for High-Resolution Image Synthesis","created":"2020-12-17","cited_by_count":3253},{"id":"1606.03498","title":"Improved Techniques for Training GANs","created":"2016-06-10","cited_by_count":2970},{"id":"1809.11096","title":"Large Scale GAN Training for High Fidelity Natural Image Synthesis","created":"2018-09-28","cited_by_count":2626},{"id":"1704.00028","title":"Improved Training of Wasserstein GANs","created":"2017-03-31","cited_by_count":2235},{"id":"1505.05770","title":"Variational Inference with Normalizing Flows","created":"2015-05-21","cited_by_count":2170},{"id":"2303.01469","title":"Consistency Models","created":"2023-03-02","cited_by_count":1822},{"id":"1609.03499","title":"WaveNet: A Generative Model for Raw Audio","created":"2016-09-12","cited_by_count":1722},{"id":"1802.05957","title":"Spectral Normalization for Generative Adversarial Networks","created":"2018-02-16","cited_by_count":1636},{"id":"1506.03365","title":"LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop","created":"2015-06-10","cited_by_count":1355},{"id":"1801.01401","title":"Demystifying MMD GANs","created":"2018-01-04","cited_by_count":1293},{"id":"1611.04076","title":"Least Squares Generative Adversarial Networks","created":"2016-11-13","cited_by_count":1001},{"id":"1904.06991","title":"Improved Precision and Recall Metric for Assessing Generative Models","created":"2019-04-15","cited_by_count":944},{"id":"2103.01458","title":"Diffusion Probabilistic Models for 3D Point Cloud Generation","created":"2021-03-02","cited_by_count":735},{"id":"2301.13188","title":"Extracting Training Data from Diffusion Models","created":"2023-01-30","cited_by_count":732},{"id":"2303.07345","title":"Erasing Concepts from Diffusion Models","created":"2023-03-13","cited_by_count":539},{"id":"2112.07804","title":"Tackling the Generative Learning Trilemma with Denoising Diffusion GANs","created":"2021-12-15","cited_by_count":516},{"id":"1811.02629","title":"Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge","created":"2018-11-05","cited_by_count":511},{"id":"1806.00035","title":"Assessing Generative Models via Precision and Recall","created":"2018-05-31","cited_by_count":406},{"id":"1904.00625","title":"Med3D: Transfer Learning for 3D Medical Image Analysis","created":"2019-04-01","cited_by_count":288},{"id":"2209.07162","title":"Brain Imaging Generation with Latent Diffusion Models","created":"2022-09-15","cited_by_count":268},{"id":"1803.01229","title":"GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification","created":"2018-03-03","cited_by_count":242},{"id":"2203.04306","title":"Diffusion Models for Medical Anomaly Detection","created":"2022-03-08","cited_by_count":232},{"id":"1801.01973","title":"A Note on the Inception Score","created":"2018-01-06","cited_by_count":226},{"id":"2112.03145","title":"Diffusion Models for Implicit Image Segmentation Ensembles","created":"2021-12-06","cited_by_count":198},{"id":"2211.00611","title":"MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model","created":"2022-11-01","cited_by_count":180},{"id":"1911.07023","title":"Effectively Unbiased FID and Inception Score and where to find them","created":"2019-11-16","cited_by_count":165},{"id":"2211.10655","title":"Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models","created":"2022-11-19","cited_by_count":132},{"id":"2310.02664","title":"On Memorization in Diffusion Models","created":"2023-10-04","cited_by_count":125},{"id":"2211.16152","title":"Wavelet Diffusion Models are fast and scalable Image Generators","created":"2022-11-29","cited_by_count":117},{"id":"2304.09218","title":"Generative models improve fairness of medical classifiers under distribution shifts","created":"2023-04-18","cited_by_count":90},{"id":"2305.18453","title":"Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis","created":"2023-05-29","cited_by_count":86},{"id":"2402.05210","title":"Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models","created":"2024-02-07","cited_by_count":69},{"id":"1908.02498","title":"Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks","created":"2019-08-07","cited_by_count":65},{"id":"2311.00265","title":"Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study","created":"2023-11-01","cited_by_count":64},{"id":"2008.01910","title":"Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN","created":"2020-08-05","cited_by_count":60},{"id":"2106.03216","title":"On Memorization in Probabilistic Deep Generative Models","created":"2021-06-06","cited_by_count":60},{"id":"2211.08095","title":"Will Large-scale Generative Models Corrupt Future Datasets?","created":"2022-11-15","cited_by_count":59},{"id":"2112.05149","title":"DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model","created":"2021-12-09","cited_by_count":58},{"id":"2212.08228","title":"SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation","created":"2022-12-16","cited_by_count":56},{"id":"2303.08440","title":"Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models","created":"2023-03-15","cited_by_count":53},{"id":"2207.12268","title":"What is Healthy? Generative Counterfactual Diffusion for Lesion Localization","created":"2022-07-25","cited_by_count":52},{"id":"1807.10088","title":"AlphaGAN: Generative adversarial networks for natural image matting","created":"2018-07-26","cited_by_count":50},{"id":"2307.10094","title":"Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis","created":"2023-07-19","cited_by_count":43},{"id":"2008.03483","title":"Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis","created":"2020-08-08","cited_by_count":38},{"id":"2103.08562","title":"Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data","created":"2021-03-15","cited_by_count":38},{"id":"2206.08549","title":"Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images","created":"2022-06-17","cited_by_count":35},{"id":"2405.03328","title":"Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge","created":"2024-05-06","cited_by_count":35},{"id":"2107.09700","title":"3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images","created":"2021-07-20","cited_by_count":32},{"id":"2305.19467","title":"Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model","created":"2023-05-31","cited_by_count":29},{"id":"2309.08643","title":"NISF: Neural Implicit Segmentation Functions","created":"2023-09-15","cited_by_count":29},{"id":"2212.08034","title":"Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model","created":"2022-12-15","cited_by_count":28},{"id":"1803.05854","title":"Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans","created":"2018-03-13","cited_by_count":24},{"id":"2306.04098","title":"Phoenix: A Federated Generative Diffusion Model","created":"2023-06-07","cited_by_count":22},{"id":"2308.12453","title":"Augmenting medical image classifiers with synthetic data from latent diffusion models","created":"2023-08-23","cited_by_count":22},{"id":"2403.14499","title":"Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting","created":"2024-03-21","cited_by_count":22},{"id":"2007.04780","title":"Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE","created":"2020-07-09","cited_by_count":20},{"id":"2303.08189","title":"Diffusion Models for Contrast Harmonization of Magnetic Resonance Images","created":"2023-03-14","cited_by_count":19},{"id":"2106.03062","title":"On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition","created":"2021-06-06","cited_by_count":18},{"id":"2305.00042","title":"Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis","created":"2023-04-28","cited_by_count":18},{"id":"2308.04020","title":"Synthetic Augmentation with Large-scale Unconditional Pre-training","created":"2023-08-08","cited_by_count":18},{"id":"2108.02160","title":"MRI to PET Cross-Modality Translation using Globally and Locally Aware GAN (GLA-GAN) for Multi-Modal Diagnosis of Alzheimer's Disease","created":"2021-08-04","cited_by_count":16},{"id":"2406.12575","title":"Training Diffusion Models with Federated Learning","created":"2024-06-18","cited_by_count":15},{"id":"2010.03396","title":"Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images","created":"2020-10-06","cited_by_count":14},{"id":"2308.02587","title":"Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models","created":"2023-08-03","cited_by_count":14},{"id":"2403.12852","title":"Generative Enhancement for 3D Medical Images","created":"2024-03-19","cited_by_count":14},{"id":"2311.04248","title":"DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging","created":"2023-11-07","cited_by_count":12},{"id":"2311.16538","title":"Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks","created":"2023-11-28","cited_by_count":10},{"id":"2405.16942","title":"PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models","created":"2024-05-27","cited_by_count":10},{"id":"2401.06291","title":"Frequency-Time Diffusion with Neural Cellular Automata","created":"2024-01-11","cited_by_count":9},{"id":"2207.00844","title":"Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach","created":"2022-07-02","cited_by_count":8},{"id":"2208.03934","title":"Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images","created":"2022-08-08","cited_by_count":8},{"id":"2301.03588","title":"Multiscale Metamorphic VAE for 3D Brain MRI Synthesis","created":"2023-01-09","cited_by_count":8},{"id":"2403.07800","title":"BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives","created":"2024-03-12","cited_by_count":7},{"id":"2403.11667","title":"Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection","created":"2024-03-18","cited_by_count":7},{"id":"2405.10691","title":"LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion","created":"2024-05-17","cited_by_count":6},{"id":"2304.00725","title":"CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images","created":"2023-04-03","cited_by_count":5},{"id":"2308.08511","title":"Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems","created":"2023-08-16","cited_by_count":5},{"id":"2405.15241","title":"Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving","created":"2024-05-24","cited_by_count":4},{"id":"2111.01866","title":"3-D PET Image Generation with tumour masks using TGAN","created":"2021-11-02","cited_by_count":2}],"next_cursor":null}