#计算机科学#Open source Python library for building bioimage analysis pipelines
Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
Scalable Optical Flow-based Image Montaging and Alignment
#计算机科学#UNet based model that segment retina to 8 layers in OCT images
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
#计算机科学#Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597
A course in biomedical image analytics by Prof. Dmitry V. Dylov
[ICCV 2025] MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance
Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165
Detecting fractures on top of X-ray imaging modalities using various state-of-the-art techniques of deep learning
gaining essential skills for tasks like cardiac MRI segmentation and detecting Alzheimer's-related brain structure changes.
#计算机科学#Mother machine image analysis through napari
Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis
Research internship 2023 at Telecom Paris
How to deal with DICOM files using Python packages, ImageIO and PyDicom
#计算机科学#Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model
Multimodal Bi-Transformers (MMBT) in Biomedical Text/Image Classification