Frontiers

Artificial Intelligence and Multimodal Imaging of the Temporomandibular Joint: From Morphology to Clinical Decision Support

The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...
IEEE

Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation

Abstract: Medical image analysis is critical yet challenged by the need of jointly segmenting organs or tissues, and numerous instances for anatomical structures and tumor microenvironment analysis.
Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
GitHub

In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting

Data used for Wheat3DGS and the baseline results for each plot (from 461 to 467) are structured as follows: Note that resolution is set to 1 to prevent image downscaling, and the training/test split ...
IEEE

Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models

Abstract: Medical image segmentation is crucial for clinical decision-making, but the scarcity of annotated data presents significant challenges. Few-shot segmentation (FSS) methods show promise but ...
GitHub

iodriller/SegCraft-Semantic-Segmentation

For NVIDIA GPUs, install the CUDA-enabled PyTorch wheel that matches your system from the PyTorch install page, then run: segcraft validate segcraft predict --preset cityscapes_video --local ...