Replacing Mamba with xLSTM! It works better. We show that xLSTM-Unet can be an effective semantic segmentation backbone.
Analysis of 3D pathology samples using weakly supervised AI - Cell
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
[IJCV'2026] Generative Enhancement for 3D Medical Images
3D medical image classification using swin transformer
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
[ICCV 2023] Code for the paper "Preserving Volume for Unsupervised Registration"
In this project I develop a deep learning CNN model to predict Alzheimer's disease using 3D MRI medical images of the Hippocampus region of the brain.
ICIP2023: 3D-DDA: 3D Dual-Domain Attention For Brain Tumor Segmentation
VoxelSage turns CT scans into actionable 3D insights—automatically segmenting anatomy, quantifying tumors and vessels, generating structured reports, and powering agent-guided surgical analysis.
A full web based medical image viewer
Use this code to resample 2D and 3D medical images in matlab
[ISBI '25 Best Paper] Disentangled PET Lesion Segmentation
Visualizing 3D ResNet for Medical Image Classification With Score-CAM
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