Showing 1–20 of 38 results
/ Date/ Name
Apr 12, 2021SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points MatchingMar 5, 2021SpecTr: Spectral Transformer for Hyperspectral Pathology Image SegmentationSep 9, 2020Semi-supervised Medical Image Segmentation through Dual-task ConsistencyJan 28, 2023CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT ScansNov 30, 2023Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningJul 14, 20254D-Animal: Freely Reconstructing Animatable 3D Animals from VideosNov 6, 2024Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?Oct 12, 2025Mesh-Gait: A Unified Framework for Gait Recognition Through Multi-Modal Representation Learning from 2D SilhouettesFeb 12, 2025Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal ModelsDec 10, 20243DSRBench: A Comprehensive 3D Spatial Reasoning BenchmarkMay 4, 2026From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and ChemistryFeb 8, 2021TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationNov 3, 2021WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT imageMar 29, 2019Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving AgentJun 12, 2023Compositor: Bottom-up Clustering and Compositing for Robust Part and Object SegmentationJun 28, 2024Efficient Large Multi-modal Models via Visual Context CompressionDec 12, 2024GenEx: Generating an Explorable WorldJun 2, 2025Medical World Model: Generative Simulation of Tumor Evolution for Treatment PlanningJul 8, 2025Learning Segmentation from Radiology ReportsOct 16, 2025Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks