Hemaxi Narotamo's Projects
3D deep learning model to predict nucleus-Golgi vectors in 3D microscopy images of mouse retinas
testing code for docker
Official implementation of the paper: Narotamo, H., Silveira, M., & Franco, C. A. (2024). 3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D. Arteriosclerosis, Thrombosis, and Vascular Biology.
Official implementation of the paper accepted for presentation at EMBC 2022: "Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks"
3D Implementation of the Tiny Yolo v2 model to jointly detect nucleus-Golgi pairs in 3D Microscopy Images
CNN’s for detection and measurement of butterfly eyespot patterns
ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap
Implementation of the iris filter to obtain the gradient convergence maps of nuclei in microscopy images. Developed for the paper: "Narotamo, H., Sanches, J. M., & Silveira, M. (2020, July). Combining deep learning with handcrafted features for cell nuclei segmentation."
Official implementation of the paper: "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches"
Code for the study "Eph-ephrin signaling couples endothelial cell sorting and arterial specification" by Stewen J, Kruse K, Godoi-Filip AT, Jeong H, Adams S, Berkenfeld F, Stehling M, Red-Horse K, Adams RH, Pitulescu ME
Official implementation of the paper: "Narotamo, H., Fernandes, M. S., Moreira, A. M., Melo, S., Seruca, R., Silveira, M., & Sanches, J. M. (2021). A machine learning approach for single cell interphase cell cycle staging. Scientific reports."
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A Deep-Learning Approach for Vectors Prediction in 3D Microscopy Images
Table structure recognition dataset of the paper: Complicated Table Structure Recognition
StarDist - Object Detection with Star-convex Shapes
VesselVio is an open-source application for the analysis and visualization of segmented vasculature datasets
Official implementation of the paper: "Narotamo, H., Sanches, J. M., & Silveira, M. (2019, July). Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning. "