Ahmed J. Afifi

According to our database, Ahmed J. Afifi authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences.

Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.

Ahmed J. Afifi, Samuel T. Thiele, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann

CoRR, 2023

Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image.

Ming Yin, Toufique Ahmed Soomro, Fayyaz Ali Jandan, Ayoub Fatihi, Faisal Bin Ubaid, Muhammad Irfan, Ahmed J. Afifi, Saifur Rahman, Sergii Telenyk, Grzegorz Nowakowski

IEEE Access, 2023

Transformer-Based Models for Hyperspectral Point Clouds Segmentation.

Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

2022

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.

Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao

Artif. Intell. Rev., 2022

2021

Geometric and semantic understanding of objects from a single image using deep learning.

Ahmed J. Afifi

PhD thesis, 2021

Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere.

Ahmed J. Afifi, Jannes Magnusson, Toufique Ahmed Soomro, Olaf Hellwich

IEEE Access, 2021

Synthesizing Fundus Photographies for Training Segmentation Networks.

Jannes Magnusson, Ahmed J. Afifi, Shengjia Zhang, Andreas Ley, Olaf Hellwich

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

2020

Mini V-Net: Depth Estimation from Single Indoor-Outdoor Images using Strided-CNN.

Ahmed J. Afifi, Olaf Hellwich, Toufique Ahmed Soomro

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.

Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Lihong Zheng, Manoranjan Paul

Expert Syst. Appl., 2019

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review.

Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul

IEEE Access, 2019

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.

Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali, Shafiullah Soomro, Gulsher Baloch, Lihong Zheng, Ming Yin, Junbin Gao

IEEE Access, 2019

2018

Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network.

Ahmed J. Afifi, Olaf Hellwich, Toufique Ahmed Soomro

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss.

Toufique Ahmed Soomro, Olaf Hellwich, Ahmed J. Afifi, Manoranjan Paul, Junbin Gao, Lihong Zheng

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Retinal Blood Vessels Extraction of Challenging Images.

Toufique Ahmed Soomro, Junbin Gao, Lihong Zheng, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

2017

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.

Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Mohammad A. U. Khan, Manoranjan Paul, Lihong Zheng

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network.

Ahmed J. Afifi, Olaf Hellwich

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2012

Content-Based Image Retrieval Using Invariant Color and Texture Features.

Ahmed J. Afifi, Wesam M. Ashour

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012