{"list":"other","total":51,"rows":[{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"2005.11401","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","created":"2020-05-22","cited_by_count":9297},{"id":"2203.05794","title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure","created":"2022-03-11","cited_by_count":801},{"id":"2204.01697","title":"MaxViT: Multi-Axis Vision Transformer","created":"2022-04-04","cited_by_count":476},{"id":"2103.00550","title":"A Survey on Deep Semi-supervised Learning","created":"2021-02-28","cited_by_count":251},{"id":"2401.06775","title":"Large language models in healthcare and medical domain: A review","created":"2023-12-12","cited_by_count":127},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98},{"id":"2204.10836","title":"Federated Learning Enables Big Data for Rare Cancer Boundary Detection","created":"2022-04-22","cited_by_count":84},{"id":"2203.00585","title":"Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology","created":"2022-03-01","cited_by_count":50},{"id":"2403.01255","title":"Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey","created":"2024-03-02","cited_by_count":50},{"id":"2403.07407","title":"In-context learning enables multimodal large language models to classify cancer pathology images","created":"2024-03-12","cited_by_count":38},{"id":"2103.05115","title":"Deep reinforcement learning in medical imaging: A literature review","created":"2021-03-05","cited_by_count":34},{"id":"2304.14535","title":"Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization","created":"2023-04-27","cited_by_count":28},{"id":"2402.01730","title":"Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis","created":"2024-01-28","cited_by_count":24},{"id":"2308.13558","title":"Federated Learning for Computer Vision","created":"2023-08-24","cited_by_count":22},{"id":"2304.10550","title":"Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review","created":"2023-04-19","cited_by_count":21},{"id":"2408.07583","title":"Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey","created":"2024-08-14","cited_by_count":21},{"id":"2107.02504","title":"Memory-aware curriculum federated learning for breast cancer classification","created":"2021-07-06","cited_by_count":20},{"id":"2103.03705","title":"FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation","created":"2021-03-05","cited_by_count":19},{"id":"2308.13592","title":"AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions","created":"2023-08-25","cited_by_count":18},{"id":"2307.00067","title":"Transformers in Healthcare: A Survey","created":"2023-06-30","cited_by_count":17},{"id":"1712.00996","title":"Learning to detect chest radiographs containing lung nodules using visual attention networks","created":"2017-12-04","cited_by_count":16},{"id":"2308.04522","title":"Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions","created":"2023-08-08","cited_by_count":16},{"id":"1812.07715","title":"A Tour of Unsupervised Deep Learning for Medical Image Analysis","created":"2018-12-19","cited_by_count":13},{"id":"2211.04793","title":"RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection","created":"2022-11-09","cited_by_count":12},{"id":"2406.10459","title":"CancerLLM: A Large Language Model in Cancer Domain","created":"2024-06-15","cited_by_count":12},{"id":"2206.10096","title":"Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms","created":"2022-06-21","cited_by_count":11},{"id":"1909.00311","title":"Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research","created":"2019-09-01","cited_by_count":10},{"id":"2407.17877","title":"Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey","created":"2024-07-25","cited_by_count":9},{"id":"2212.01737","title":"RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning","created":"2022-12-04","cited_by_count":8},{"id":"2311.07191","title":"Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer","created":"2023-11-13","cited_by_count":8},{"id":"2410.09456","title":"Automatic Speech Recognition with BERT and CTC Transformers: A Review","created":"2024-10-12","cited_by_count":8},{"id":"1809.09404","title":"Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI","created":"2018-09-25","cited_by_count":7},{"id":"2405.20038","title":"Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey","created":"2024-05-30","cited_by_count":7},{"id":"2012.13321","title":"Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets","created":"2020-12-24","cited_by_count":5},{"id":"2303.11019","title":"A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images","created":"2023-03-20","cited_by_count":5},{"id":"2404.01589","title":"Classifying Cancer Stage with Open-Source Clinical Large Language Models","created":"2024-04-02","cited_by_count":5},{"id":"2211.00749","title":"ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification","created":"2022-11-01","cited_by_count":4},{"id":"2308.16735","title":"Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment","created":"2023-08-31","cited_by_count":4},{"id":"2310.08365","title":"From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer","created":"2023-10-12","cited_by_count":4},{"id":"2406.06591","title":"Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging","created":"2024-06-05","cited_by_count":4},{"id":"2407.05088","title":"Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation","created":"2024-07-06","cited_by_count":4},{"id":"2112.13513","title":"MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer","created":"2021-12-27","cited_by_count":3},{"id":"2205.15530","title":"Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images","created":"2022-05-31","cited_by_count":3},{"id":"2301.09007","title":"MultiNet with Transformers: A Model for Cancer Diagnosis Using Images","created":"2023-01-21","cited_by_count":3},{"id":"2401.13887","title":"A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification","created":"2024-01-25","cited_by_count":3},{"id":"2408.04318","title":"Deep Transfer Learning for Kidney Cancer Diagnosis","created":"2024-08-08","cited_by_count":3},{"id":"2404.01160","title":"Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models","created":"2024-04-01","cited_by_count":2},{"id":"2409.07128","title":"Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review","created":"2024-09-11","cited_by_count":2},{"id":"2401.03302","title":"Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT","created":"2024-01-06","cited_by_count":1},{"id":"2402.10102","title":"A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research","created":"2024-02-15","cited_by_count":1}],"next_cursor":null}