[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation

[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning

The following repository contains code for all scRNAseq analysis and visualization performed in the paper: Single cell resolution analysis of the human pancreatic ductal progenitor cell niche

Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.

The official PyTorch implementation for paper "Hierarchical 3D Feature Learning for Pancreas Segmentation"

Official PyTorch implementation for paper: "Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images"

Code for Walker, Saunders, Rai et al., (2021).

Journal Watch for PBPath.org

Measure Cell Size in 3D

An Interactive Web Application for Quality Control and Analysis of Insulin Secretion from Pancreatic Beta Cells

Code repository for paper: "A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging"

Segmentation tool that segments 3D medical images using CNNs. Trained on CT-images of the pathological pancreas with Caffe.

The YOLOv4 is used for pancreas detection on CT-scans.

💜 Codice Viola is committed to improving the survival and quality of life of patients with pancreatic adenocarcinoma

R scripts used to analyze single-nucleus RNA-seq data generated from in vitro differentiated pancreatic organoids, described in Huang, L. et al. 2021 (in press).

Fancy basic vizs for

📷⛑ Segmentation of Pancreatic Images using LinTransUNet

R Scripts used in scRNA-seq analysis of T2D Islets

Single cell app-Islets