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ORCIDSyed Jamal Safdar Gardezi
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Journal Articles
- 2020
[j5]Ahmed Elazab
, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei:
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020)- 2018
- [j4]Faouzi Adjed, Syed Jamal Safdar Gardezi, Fakhreddine Ababsa, Ibrahima Faye, Sarat Chandra Dass:
Fusion of structural and textural features for melanoma recognition. IET Comput. Vis. 12(2): 185-195 (2018) - [j3]Syed Jamal Safdar Gardezi, Faouzi Adjed, Ibrahima Faye, Nidal S. Kamel, Mohamed Meselhy Eltoukhy:
Segmentation of pectoral muscle using the adaptive gamma corrections. Multim. Tools Appl. 77(3): 3919-3940 (2018) - [j2]Syed Jamal Safdar Gardezi, Ibrahima Faye, Jose Miguel Sanchez Bornot, Nidal S. Kamel, Mohammad Hussain:
Mammogram classification using dynamic time warping. Multim. Tools Appl. 77(3): 3941-3962 (2018) - 2017
- [j1]Azimah Ajam, Azrina Abd Aziz, Vijanth Sagayan Asirvadam, Ahmad Sobri Muda, Ibrahima Faye, Syed Jamal Safdar Gardezi:
A Review on Segmentation and Modeling of Cerebral Vasculature for Surgical Planning. IEEE Access 5: 15222-15240 (2017)
Conference and Workshop Papers
- 2020
- [c3]Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang:
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. EMBC 2020: 1750-1753 - 2017
- [c2]Syed Jamal Safdar Gardezi, Muhammad Awais, Ibrahima Faye, Fabrice Mériaudeau:
Mammogram classification using deep learning features. ICSIPA 2017: 485-488 - 2016
- [c1]Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal S. Kamel, Mohamed Meselhy Eltoukhy:
Mammogram Classification Using Curvelet GLCM Texture Features and GIST Features. AISI 2016: 705-713
Informal and Other Publications
- 2024
- [i3]Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn, Hongkun Yu, E. Jason Abel, Daniel D. Shapiro, Meghan G. Lubner, Joshua D. Warner, Giuseppe Toia, Lu Mao, Pallavi Tiwari, Andrew L. Wentland:
ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography. CoRR abs/2405.04629 (2024) - [i2]Lucas Aronson, Ruben Ngnitewe Massaa, Syed Jamal Safdar Gardezi, Andrew L. Wentland:
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network. CoRR abs/2405.08282 (2024) - [i1]Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024)
Coauthor Index
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