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2020 – today
- 2026
[j3]Manahil Zulfiqar
, Maciej Stanuch, Sylvia Vagena, Fragiska Sigala, Andrzej Skalski:
Automated segmentation of peripheral arteries in 3D CT data based on a Single-Depth vascular network. Biomed. Signal Process. Control. 112: 108410 (2026)- 2025
- [j2]Mohammed A. AboArab, Milos Anic, Vassiliki T. Potsika, Hassan Saeed, Manahil Zulfiqar, Andrzej Skalski, Elisabetta Stretti, Vassilis Kostopoulos, Spyridon Psarras, Giancarlo Pennati, Francesca Berti, Lemana Spahic, Leo Benolic, Nenad Filipovic, Dimitrios I. Fotiadis:
DECODE: An open-source cloud-based platform for the noninvasive management of peripheral artery disease. Comput. Methods Programs Biomed. 272: 109037 (2025) - 2024
- [c4]Manahil Zulfiqar, Maciej Stanuch, Andrzej Skalski:
Profiling Peripheral Artery Structures Using CT Scan Data with Curve Planar Reformation and Gaussian Mixture Model in Polar Coordinates. BIBM 2024: 7185-7187 - [c3]Sulaiman Khan, Fathima Farha, Manahil Zulfiqar, Md. Rafiul Biswas, Zubair Shah:
Histopathological Analysis of Ovarian Cancer Using Deep Learning. FLLM 2024: 508-515 - 2023
- [j1]Manahil Zulfiqar, Maciej Stanuch, Marek Wodzinski, Andrzej Skalski:
DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function. Sensors 23(12): 5427 (2023) - [c2]Manahil Zulfiqar, Maciej Stanuch, Andrzej Skalski:
Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality. IST 2023: 1-6
2010 – 2019
- 2019
- [c1]Manahil Zulfiqar, Muhammad Fasih Uddin Butt, Asma Rama, Imran Shafi:
Abnormality Detection in Cardiac Signals using Pseudo Wigner-Ville Distribution with Pre-trained Convolutional Neural Network. ICSPCS 2019: 1-5
Coauthor Index
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