Latest Research in Cell Image Analysis Techniques
15 research papers · 2026 median publication year
Top Research Topics in Cell Image Analysis Techniques
- Computer Vision and Pattern Recognition — 4 papers
- Cell Image Analysis Techniques — 1 papers
- Cardiac Imaging and Diagnostics — 1 papers
- Graphics — 1 papers
- MRI in cancer diagnosis — 1 papers
- Advanced MRI Techniques and Applications — 1 papers
- Medical Physics — 1 papers
- Surgical Simulation and Training — 1 papers
- Total Knee Arthroplasty Outcomes — 1 papers
- Image and Video Processing — 1 papers
Highest-Cited Papers
- Instant3D: A Lightweight Open-Source GUI Frontend for TotalSegmentator-Based Medical Image Segmentation and 3D Reconstruction
- Physical Evaluation of Focal Spot Size and Phantom Thickness in Coronary CT Angiography Using Super-Resolution Deep Learning Reconstruction
- STUNet-Fusion: Spatiotemporal Needle-Tip Localization in Ultrasound Video via Multi-Channel Motion Fusion
- MedVA: An End-to-End Neuro-Symbolic Agentic System for Medical Volume Visualization
- Spatially Aware Acquisition‐Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer
- Evaluation-design effects and reference-CT-defined HU-class errors in brain MRI-to-CT synthesis on SynthRAD2023: a technical note
- DenseTRF: Texture-Aware Unsupervised Representation Adaptation for Surgical Scene Dense Prediction
- Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space
- Holistic segmentation of minimally-invasive robotic surgical scenes using feature-adaptive localization
- Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation
- ZODIAC: Zero-shot Octree-based Diffusion for Anatomical Completion
- Model Effect or Label Effect? Refined Annotations and a Human-Referenced Benchmark for Pulmonary Embolism Segmentation
- An unsupervised physics-informed neural deconvolution framework for ultrasound imaging
- Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition
- Brain cone-beam CT image quality improvement using a deep-learning-based denoising method: a multicenter retrospective study