samra-irshad

3d-boundary-constrained-networks

Boundary-constrained models for 3D abdominal multi-organ segmentation (Pytorch implementation)

3d-brain-tumor-segmentation

Volumetric MRI brain tumor segmentation using autoencoder regularization

3D-ESPNet

Efficient Segmentation for Volumetric Data

3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

3D_DenseSeg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

3DUnet-Tensorflow-Brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

acdc_segmenter

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

acosp

Semantic Segmentation in Pytorch

AdvDrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

samra-irshad/3d-boundary-constrained-networks

Boundary-constrained models for 3D abdominal multi-organ segmentation (Pytorch implementation)

samra-irshad/acosp

Semantic Segmentation in Pytorch

samra-irshad/AdvDrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

samra-irshad/AI-Challenger-Retinal-Edema-Segmentation

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

samra-irshad/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

samra-irshad/calibration-framework

Python Framework to calibrate confidence estimates of classifiers like Neural Networks

samra-irshad/CAP-Context-Aware-Pruning-for-Semantic-Segmentation

samra-irshad/DAR

Code for Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction [TMI 2022]

samra-irshad/ddn

Deep Declarative Networks

samra-irshad/deep_learning_object_detection

A paper list of object detection using deep learning.

samra-irshad/deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

samra-irshad/DeepLabV3Plus-Pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

samra-irshad/deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

samra-irshad/DeepPATH

Classification of Lung cancer slide images using deep-learning

samra-irshad/deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

samra-irshad/hidden-stratification

Combating hidden stratification with GEORGE

samra-irshad/KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

samra-irshad/mmdetection

OpenMMLab Detection Toolbox and Benchmark

samra-irshad/MRNet

Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".

samra-irshad/MSLS

samra-irshad/nltk

NLTK Source

samra-irshad/PHiSeg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

samra-irshad/pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

samra-irshad/pytorch-beginner

pytorch tutorial for beginners

samra-irshad/pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

samra-irshad/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

samra-irshad/sam.github.io

samra-irshad/segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

samra-irshad/shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

samra-irshad/thyroid-us

Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)