| Jun 23, 2023 | Code: Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation source code is now released at https://github.com/masadcv/MONet-MONAILabel |
| Jun 23, 2023 | Publication: our paper Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation has been accepted at International Conference on Medical Image Computing and Computer Assisted Intervention 2023 |
| Nov 23, 2022 | Publication: our paper FastGeodis: Fast Generalised Geodesic Distance Transform has been accepted at Journal of Open Source Software 2022 |
| Jul 1, 2022 | Code: FastGeodis is released. It provides an efficient PyTorch implementation for computing Geodesic and Euclidean distance transforms on GPU (CUDA) and CPU (OpenMP) hardwares. Muhammad contributed to its implementation, documentation and release |
| Apr 21, 2022 | Code: numpymaxflow is released. It provides max-flow/min-cut method for 2D images and 3D volumes in numpy. Muhammad contributed to its implementation and release |
| Apr 6, 2022 | Code: torchmaxflow is released. It provides max-flow/min-cut method for 2D images and 3D volumes in PyTorch. Muhammad contributed to its implementation and release |
| Mar 1, 2022 | Code: MONAI Label v0.3.2 is released. Muhammad contributed to implementing scribbles-based interactions for OHIF viewer in MONAI Label |
| Feb 28, 2022 | Code: ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation source code is now released at https://github.com/masadcv/ECONet-MONAILabel |
| Feb 28, 2022 | Publication: our paper ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation has been accepted at MIDL 2022 |
| Sep 23, 2021 | Code: MONAI Label v0.2 is released. Muhammad contributed to enabling scribbles-based interactive segmentation tools in MONAI Label. More info at MONAI Label Scribbles Wiki |
| Sep 12, 2021 | Award: Muhammad Asad has been awarded Outstanding Reviewer Award at ICCV 2021 |
| Apr 13, 2021 | Code: MONAI Core v0.5.0 is released. Muhammad contributed to adding EfficientNet-B0 to EfficientNet-B7 models for 2D/3D image classification |
| Mar 22, 2021 | Muhammad Asad is now a Research Fellow at King’s College London |
| Feb 24, 2021 | Code: PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks source code is now released at https://github.com/masadcv/PROPEL along with its documentation |
| Jan 12, 2021 | Award: our paper PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks won Best Industry Related Paper Award (BIRPA) at ICPR 2020 |
| Sep 7, 2020 | Muhammad Asad is now a Senior Research Engineer II within Vision and AI group at Imagination Technologies |
| Jun 22, 2020 | Publication: our paper PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks has been accepted at ICPR 2020 |
| Jul 1, 2019 | Muhammad Asad is now a Senior Research Engineer I within Vision and AI group at Imagination Technologies |
| Dec 13, 2017 | Muhammad Asad is now a Research Engineer II within Vision and AI group at Imagination Technologies |
| May 20, 2017 | Publication: our paper SPORE: Staged Probabilistic Regression for Hand Orientation Inference is published in the journal CVIU 2017 |
| Feb 8, 2017 | Muhammad Asad’s PhD viva was successful. He will be making minor corrections to his thesis |