Syed Jamal Safdar Gardezi

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	3D Nephrographic Image Synthesis in CT Urography with the Diffusion Model and Swin Transformer. CoRR Hongkun Yu, Syed Jamal Safdar Gardezi, E. Jason Abel, Daniel D. Shapiro, Meghan G. Lubner, Joshua D. Warner, Matthew Smith, Giuseppe Toia, Lu Mao, Pallavi Tiwari, Andrew L. Wentland
2025	—	`conf`	SwinDiff_ConSeg: Automatic Segmentation of Ureters in Consecutive CT Urography Based on Swin Transformer and Diffusion Model. ISBI Hongkun Yu, Syed Jamal Safdar Gardezi, Paige Zuber, Andrew L. Wentland
2024	J	`jnl`	Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network. CoRR Lucas Aronson, Ruben Ngnitewe Massaa, Syed Jamal Safdar Gardezi, Andrew L. Wentland
2024	J	`jnl`	Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR 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
2024	J	`jnl`	ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography. CoRR 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
2020	J	`jnl`	GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei
2020	—	`conf`	Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. EMBC Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang
2018	J	`jnl`	Fusion of structural and textural features for melanoma recognition. IET Comput. Vis. Faouzi Adjed, Syed Jamal Safdar Gardezi, Fakhreddine Ababsa, Ibrahima Faye, Sarat Chandra Dass
2018	J	`jnl`	Mammogram classification using dynamic time warping. Multim. Tools Appl. Syed Jamal Safdar Gardezi, Ibrahima Faye, Jose Miguel Sanchez Bornot, Nidal S. Kamel, Mohammad Hussain
2018	J	`jnl`	Segmentation of pectoral muscle using the adaptive gamma corrections. Multim. Tools Appl. Syed Jamal Safdar Gardezi, Faouzi Adjed, Ibrahima Faye, Nidal S. Kamel, Mohamed Meselhy Eltoukhy
2017	J	`jnl`	A Review on Segmentation and Modeling of Cerebral Vasculature for Surgical Planning. IEEE Access Azimah Ajam, Azrina Abd Aziz, Vijanth Sagayan Asirvadam, Ahmad Sobri Muda, Ibrahima Faye, Syed Jamal Safdar Gardezi
2017	—	`conf`	Mammogram classification using deep learning features. ICSIPA Syed Jamal Safdar Gardezi, Muhammad Awais, Ibrahima Faye, Fabrice Mériaudeau
2016	—	`conf`	Mammogram Classification Using Curvelet GLCM Texture Features and GIST Features. AISI Syed Jamal Safdar Gardezi, Ibrahima Faye, Faouzi Adjed, Nidal S. Kamel, Mohamed Meselhy Eltoukhy