Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis | Paper Citation Record

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This paper cites Diagnosis and complications of cushing’s syndrome: a consensus state- ment,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Diagnosis and complications of cushing’s syndrome: a consensus state- ment,

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This paper cites Persistence of myopathy in cushing’s syndrome: evaluation of the german cushing’s registry,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Persistence of myopathy in cushing’s syndrome: evaluation of the german cushing’s registry,

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This paper cites Demographic factors and the presence of comorbidities do not promote early detection of cushing’s disease and acromegaly,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Demographic factors and the presence of comorbidities do not promote early detection of cushing’s disease and acromegaly,

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This paper cites Computer vision technology in the differential diagnosis of cushing’s syndrome,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Computer vision technology in the differential diagnosis of cushing’s syndrome,

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This paper cites Deep-learning approach to automatic identifi- cation of facial anomalies in endocrine disorders,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Deep-learning approach to automatic identifi- cation of facial anomalies in endocrine disorders,

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This paper cites Dlib-ml: A machine learning toolkit,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Dlib-ml: A machine learning toolkit,

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This paper cites Imagenet: A large-scale hierarchical image database,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Imagenet: A large-scale hierarchical image database,

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Very Deep Convolutional Networks for Large-Scale Image Recognition

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This paper cites Attention is all you need,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Attention is all you need,

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach

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This paper cites Improving language understanding by generative pre- training,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Improving language understanding by generative pre- training,

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This paper cites Language models are unsupervised multitask learners,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Language models are unsupervised multitask learners,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Language Models are Few-Shot Learners

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Swin transformer: Hierarchical vision transformer using shifted windows,

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis DINOv2: Learning Robust Visual Features without Supervision

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This paper cites Segment anything,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment anything,

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This paper cites SAM 2: Segment Anything in Images and Videos.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis SAM 2: Segment Anything in Images and Videos

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This paper cites Segment anything in medical images,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment anything in medical images,

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This paper cites Are natural domain foundation models useful for medical image classification?.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Are natural domain foundation models useful for medical image classification?

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This paper cites Densely connected convolutional networks,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Densely connected convolutional networks,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Deep residual learning for image recognition,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation,

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This paper cites SAM-Med2D.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis SAM-Med2D

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Input augmentation with sam: Boosting medical image segmentation with seg- mentation foundation model,

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This paper cites VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Parameter-efficient fine-tuning of dinov2 vision transformers for lung nodule classification,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis LoRA: Low-Rank Adaptation of Large Language Models

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Segment everything everywhere all at once,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Learning transferable visual models from natural language supervision,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Electronic medical records as input to predict postoperative immediate remission of cushing’s disease: application of word embedding,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Learning repre- sentations by back-propagating errors,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Support-vector networks,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Random forests,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis The regression analysis of binary sequences,

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This paper cites Toward better prediction of recurrence for cushing’s disease: a factorization-machine based neural approach,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Toward better prediction of recurrence for cushing’s disease: a factorization-machine based neural approach,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Greedy function approximation: a gradient boosting machine,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis A decision-theoretic generalization of on-line learning and an application to boosting,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Xgboost: A scalable tree boosting system,

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This paper cites Machine learn- ing models for classification of cushing’s syndrome using retrospective data,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Machine learn- ing models for classification of cushing’s syndrome using retrospective data,

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This paper cites An introduction to kernel and nearest-neighbor non- parametric regression,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis An introduction to kernel and nearest-neighbor non- parametric regression,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Principal component analysis-a tutorial,

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This paper cites Classification and regression trees,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Classification and regression trees,

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This paper cites Automatic face classification of cushing’s syndrome in women–a novel screening approach,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Automatic face classification of cushing’s syndrome in women–a novel screening approach,

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Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Large-scale machine learning with stochastic gradient de- scent,

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This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Pytorch: An imperative style, high-performance deep learning library,

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