{"list":"other","total":86,"rows":[{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"2502.13923","title":"Qwen2.5-VL Technical Report","created":"2025-02-19","cited_by_count":5587},{"id":"2410.21276","title":"GPT-4o System Card","created":"2024-10-25","cited_by_count":4588},{"id":"2303.05499","title":"Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection","created":"2023-03-09","cited_by_count":3332},{"id":"2408.03326","title":"LLaVA-OneVision: Easy Visual Task Transfer","created":"2024-08-06","cited_by_count":2719},{"id":"1602.07332","title":"Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations","created":"2016-02-23","cited_by_count":2656},{"id":"2312.14238","title":"InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks","created":"2023-12-21","cited_by_count":2565},{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834},{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599},{"id":"2403.13372","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","created":"2024-03-20","cited_by_count":1464},{"id":"2306.00890","title":"LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day","created":"2023-06-01","cited_by_count":1305},{"id":"2306.14824","title":"Kosmos-2: Grounding Multimodal Large Language Models to the World","created":"2023-06-26","cited_by_count":1089},{"id":"2408.01800","title":"MiniCPM-V: A GPT-4V Level MLLM on Your Phone","created":"2024-08-03","cited_by_count":1079},{"id":"2404.16821","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","created":"2024-04-25","cited_by_count":1050},{"id":"2306.15195","title":"Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic","created":"2023-06-27","cited_by_count":906},{"id":"2308.00692","title":"LISA: Reasoning Segmentation via Large Language Model","created":"2023-08-01","cited_by_count":776},{"id":"1902.03368","title":"Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)","created":"2019-02-09","cited_by_count":669},{"id":"2106.05735","title":"The Medical Segmentation Decathlon","created":"2021-06-10","cited_by_count":628},{"id":"2104.04015","title":"CutPaste: Self-Supervised Learning for Anomaly Detection and Localization","created":"2021-04-08","cited_by_count":531},{"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":"2311.03356","title":"GLaMM: Pixel Grounding Large Multimodal Model","created":"2023-11-06","cited_by_count":455},{"id":"2102.09542","title":"SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering","created":"2021-02-18","cited_by_count":449},{"id":"1902.09063","title":"A large annotated medical image dataset for the development and evaluation of segmentation algorithms","created":"2019-02-25","cited_by_count":373},{"id":"2206.08023","title":"AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation","created":"2022-06-16","cited_by_count":351},{"id":"2204.09817","title":"Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing","created":"2022-04-21","cited_by_count":339},{"id":"1901.07441","title":"PadChest: A large chest x-ray image dataset with multi-label annotated reports","created":"2019-01-22","cited_by_count":309},{"id":"2408.04840","title":"mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models","created":"2024-08-09","cited_by_count":291},{"id":"1908.06948","title":"Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography","created":"2019-08-16","cited_by_count":244},{"id":"1910.03667","title":"REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs","created":"2019-10-08","cited_by_count":228},{"id":"2010.14808","title":"AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?","created":"2020-10-28","cited_by_count":224},{"id":"2312.02228","title":"PixelLM: Pixel Reasoning with Large Multimodal Model","created":"2023-12-04","cited_by_count":222},{"id":"2405.01483","title":"MANTIS: Interleaved Multi-Image Instruction Tuning","created":"2024-05-02","cited_by_count":216},{"id":"1612.08012","title":"Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge","created":"2016-12-23","cited_by_count":201},{"id":"2406.19280","title":"HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale","created":"2024-06-27","cited_by_count":200},{"id":"2402.09181","title":"OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM","created":"2024-02-14","cited_by_count":184},{"id":"2312.10103","title":"GSVA: Generalized Segmentation via Multimodal Large Language Models","created":"2023-12-15","cited_by_count":154},{"id":"2406.04449","title":"MAIRA-2: Grounded Radiology Report Generation","created":"2024-06-06","cited_by_count":145},{"id":"1612.08820","title":"Multivariate mixture model for myocardium segmentation combining multi-source images","created":"2016-12-28","cited_by_count":133},{"id":"2404.13013","title":"Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models","created":"2024-04-19","cited_by_count":119},{"id":"1904.00682","title":"Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge","created":"2019-04-01","cited_by_count":115},{"id":"2001.09193","title":"VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images","created":"2020-01-24","cited_by_count":111},{"id":"2206.06694","title":"ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset","created":"2022-06-14","cited_by_count":106},{"id":"2403.14598","title":"PSALM: Pixelwise SegmentAtion with Large Multi-Modal Model","created":"2024-03-21","cited_by_count":101},{"id":"2006.11988","title":"COVID-19 Image Data Collection: Prospective Predictions Are the Future","created":"2020-06-22","cited_by_count":100},{"id":"2408.03361","title":"GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI","created":"2024-08-06","cited_by_count":96},{"id":"2208.02049","title":"AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy","created":"2022-08-03","cited_by_count":85},{"id":"2203.11205","title":"VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography","created":"2022-03-20","cited_by_count":84},{"id":"2311.04498","title":"NExT-Chat: An LMM for Chat, Detection and Segmentation","created":"2023-11-08","cited_by_count":80},{"id":"1801.00926","title":"Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation","created":"2018-01-03","cited_by_count":73},{"id":"2402.19470","title":"Towards Generalizable Tumor Synthesis","created":"2024-02-29","cited_by_count":65},{"id":"2303.14869","title":"Label-Free Liver Tumor Segmentation","created":"2023-03-27","cited_by_count":56},{"id":"2011.08065","title":"Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy","created":"2020-10-23","cited_by_count":54},{"id":"2412.20206","title":"Toward Visual Grounding: A Survey","created":"2024-12-28","cited_by_count":52},{"id":"2202.10185","title":"OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images","created":"2022-02-21","cited_by_count":48},{"id":"2105.14711","title":"CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography","created":"2021-05-31","cited_by_count":46},{"id":"2012.08721","title":"Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models","created":"2020-12-16","cited_by_count":45},{"id":"2303.01710","title":"BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability","created":"2023-03-03","cited_by_count":42},{"id":"2410.12332","title":"MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs","created":"2024-10-16","cited_by_count":39},{"id":"2303.07618","title":"Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment","created":"2023-03-14","cited_by_count":32},{"id":"2411.18363","title":"ChatRex: Taming Multimodal LLM for Joint Perception and Understanding","created":"2024-11-27","cited_by_count":30},{"id":"2312.09576","title":"SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma","created":"2023-12-15","cited_by_count":29},{"id":"2411.16778","title":"GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis","created":"2024-11-25","cited_by_count":29},{"id":"2411.19378","title":"Libra: Leveraging Temporal Images for Biomedical Radiology Analysis","created":"2024-11-28","cited_by_count":29},{"id":"2009.12698","title":"COVID-19 Infection Map Generation and Detection from Chest X-Ray Images","created":"2020-09-26","cited_by_count":28},{"id":"2108.04016","title":"Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge","created":"2021-08-09","cited_by_count":28},{"id":"2304.03708","title":"Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge","created":"2023-04-07","cited_by_count":28},{"id":"2412.09278","title":"Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine","created":"2024-12-12","cited_by_count":28},{"id":"2301.03281","title":"The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge","created":"2023-01-09","cited_by_count":26},{"id":"2501.05767","title":"Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models","created":"2025-01-10","cited_by_count":22},{"id":"2412.07769","title":"BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities","created":"2024-12-10","cited_by_count":20},{"id":"2005.02258","title":"AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography","created":"2020-05-05","cited_by_count":15},{"id":"2109.00374","title":"ImageTBAD: A 3D Computed Tomography Angiography Image Dataset for Automatic Segmentation of Type-B Aortic Dissection","created":"2021-09-01","cited_by_count":14},{"id":"2005.04014","title":"Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images","created":"2020-05-08","cited_by_count":13},{"id":"2404.06798","title":"Uncertainty-aware Medical Diagnostic Phrase Identification and Grounding","created":"2024-04-10","cited_by_count":13},{"id":"2405.18435","title":"QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge","created":"2024-03-19","cited_by_count":13},{"id":"2210.06385","title":"The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)","created":"2022-10-12","cited_by_count":12},{"id":"2206.08778","title":"CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images","created":"2022-06-17","cited_by_count":11},{"id":"2208.01643","title":"CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation","created":"2022-08-02","cited_by_count":11},{"id":"2211.01631","title":"$\\mathcal{X}$-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing","created":"2022-11-03","cited_by_count":10},{"id":"2006.05332","title":"Advance Warning Methodologies for COVID-19 using Chest X-Ray Images","created":"2020-06-07","cited_by_count":9},{"id":"2502.11651","title":"MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression","created":"2025-02-17","cited_by_count":9},{"id":"2505.03401","title":"DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation","created":"2025-05-06","cited_by_count":8},{"id":"2003.13440","title":"Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)","created":"2020-03-30","cited_by_count":5},{"id":"2101.12254","title":"Reliable COVID-19 Detection Using Chest X-ray Images","created":"2021-01-28","cited_by_count":5},{"id":"2502.18519","title":"FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition","created":"2025-02-23","cited_by_count":3}],"next_cursor":null}