HemaxiN

3D_U-Vec

3D deep learning model to predict nucleus-Golgi vectors in 3D microscopy images of mouse retinas

3dunet

testing code for docker

3DVascNet

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.

3DVox2Vox

Official implementation of the paper accepted for presentation at EMBC 2022: "Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks"

3DYOLO

3D Implementation of the Tiny Yolo v2 model to jointly detect nucleus-Golgi pairs in 3D Microscopy Images

Cell-Nucleus-and-Membrane-Segmentation-and-Feature-Extraction

DL_ECG_Classification

Official implementation of the paper: "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches"

InterphaseCellCycleStaging

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."

VesselVio

VesselVio is an open-source application for the analysis and visualization of segmented vasculature datasets

YOLO_UNET

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. "

HemaxiN/DL_ECG_Classification

Official implementation of the paper: "Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches"

HemaxiN/InterphaseCellCycleStaging

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."

HemaxiN/3DVascNet

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.

HemaxiN/YOLO_UNET

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. "

HemaxiN/3D_U-Vec

3D deep learning model to predict nucleus-Golgi vectors in 3D microscopy images of mouse retinas

HemaxiN/3DVox2Vox

Official implementation of the paper accepted for presentation at EMBC 2022: "Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks"

HemaxiN/3DYOLO

3D Implementation of the Tiny Yolo v2 model to jointly detect nucleus-Golgi pairs in 3D Microscopy Images

HemaxiN/3dunet

testing code for docker

HemaxiN/Cell-Nucleus-and-Membrane-Segmentation-and-Feature-Extraction

HemaxiN/VesselVio

VesselVio is an open-source application for the analysis and visualization of segmented vasculature datasets

HemaxiN/3DImageNormalization

HemaxiN/ClearMap2

ClearMap 2.0 with WobblyStitcher, TubeMap and CellMap

HemaxiN/3DArtificialVision

PhD Project - Hemaxi Narotamo

HemaxiN/3DCellPol

Official implementation of 3DCellPol an automated approach for joint detection and pairing of cell organelles

HemaxiN/Butterfly_CNN

CNN’s for detection and measurement of butterfly eyespot patterns

HemaxiN/conv_index_iris_filter

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."

HemaxiN/EC_analysis

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

HemaxiN/HemaxiN

HemaxiN/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

HemaxiN/Polarity-Vectors

A Deep-Learning Approach for Vectors Prediction in 3D Microscopy Images

HemaxiN/SciTSR

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

HemaxiN/stardist

StarDist - Object Detection with Star-convex Shapes

HemaxiN/transpose_masks_3DVascNet

Simple app to transpose the channels of the output masks of 3DVascNet, to visualize them correctly in Fiji and Imaris.

HemaxiN/VectorAnnotationTool

Simple tool for 3D nucleus-Golgi polarity vector annotation.

HemaxiN/XML-files-based-on-Pascal-VOC-format-from-binary-segmentation-masks