SMKamrulHasan
ML Research Scientist at J&J | Ex-ML Research Intern at IBM, Philips Research | PhD from RIT Imaging Science
Rochester Institute of TechnologyRochester
Pinned Repositories
-Tristimulus-Values
Compute the Tristimulus Values, Chromaticity Coordinates, and L*, a,* and b* Color Space for the 24 Patches of the GretagMacbeth “ColorChecker” Target
3D-LEGO-Phantom-using-3D-Slicer
Creating a 3D LEGO Phantom using 3D Slicer
4D_Nifti_file_Viewer
This is an automatic viewer for 4D nifti file. No need to use 3D Slicer or mango
Automatic-Landmark-Extraction
Automatic Landmark Extraction usign VTK and Python
CondenseUNet
Condensely connected architecture for Cardiac Cine MR Image Segmentation and Quantification
Correlation_Plot
Correlation Plotting using Python
DenseNet-using-PyTorch-CIFAR10
DenseNet Implementation on CIFAR10 dataset using PyTorch
Learned-Condensation-Optimizaton-Network
MTCTL
UNetPlus
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images
SMKamrulHasan's Repositories
SMKamrulHasan/UNetPlus
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images
SMKamrulHasan/Automatic-Landmark-Extraction
Automatic Landmark Extraction usign VTK and Python
SMKamrulHasan/CondenseUNet
Condensely connected architecture for Cardiac Cine MR Image Segmentation and Quantification
SMKamrulHasan/MTCTL
SMKamrulHasan/3D-LEGO-Phantom-using-3D-Slicer
Creating a 3D LEGO Phantom using 3D Slicer
SMKamrulHasan/4D_Nifti_file_Viewer
This is an automatic viewer for 4D nifti file. No need to use 3D Slicer or mango
SMKamrulHasan/Correlation_Plot
Correlation Plotting using Python
SMKamrulHasan/Learned-Condensation-Optimizaton-Network
SMKamrulHasan/ACRN_Chest_X-ray_IA
Learning Deformable Registration of Medical Images with Anatomical Constraints
SMKamrulHasan/atria_segmentation_2018
This repository contains training and testing code for atrial segmentation challenge 2018
SMKamrulHasan/Bland_Altman_Plot
Plot Bland Altman in Python
SMKamrulHasan/Camera-Exposure-Correction-Deep-Learning
SMKamrulHasan/cv
This resume can be used as LaTeX template for academic purposes or job applications.
SMKamrulHasan/EISNet
[ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
SMKamrulHasan/istn
Image-and-Spatial Transformer Networks
SMKamrulHasan/Keras-GAN
Keras implementations of Generative Adversarial Networks.
SMKamrulHasan/Marker-based-Object-tracking
Marker-based-Object-tracking
SMKamrulHasan/Nifti-File-Viewer
SMKamrulHasan/nnUNet
SMKamrulHasan/Recursive-Cascaded-Networks
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
SMKamrulHasan/Regularized-Network
SMKamrulHasan/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
SMKamrulHasan/RV_deformation
SMKamrulHasan/SegWithDistMap
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
SMKamrulHasan/smart-button
Smart Button Custom HTML Element
SMKamrulHasan/smkamrulhasan.github.io
SMKamrulHasan/STN.keras
Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.
SMKamrulHasan/Surface-Registration-using-3D-Slicer
SMKamrulHasan/Video_inpainting
SMKamrulHasan/VTK-file-Explore-in-Python
Visualize and interaction with VTK/VTP/POLY data in python