Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. - Ahmed H. Shahin; Karim Amer; Mustafa A. Elattar (ISBI, 2019)

Extreme Points Derived Confidence Map as a Cue for Class-Agnostic Interactive Segmentation Using Deep Neural Network. - Shadab Khan; Ahmed H. Shahin; Javier Villafruela; Jianbing Shen; Ling Shao 001 (MICCAI (2), 2019)

Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network. - Shadab Khan; Ahmed H. Shahin; Javier Villafruela; Jianbing Shen; Ling Shao 001 (CoRR, 2019)

FAIRS - Soft Focus Generator and Attention for Robust Object Segmentation from Extreme Points. - Ahmed H. Shahin; Prateek Munjal; Ling Shao 001; Shadab Khan (CoRR, 2020)

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. - An Zhao; Ahmed H. Shahin; Yukun Zhou; Eyjolfur Gudmundsson; Adam Szmul; Nesrin Mogulkoc; Frouke Van Beek; Christopher Brereton; Hendrik W. Van Es; Katarina Pontoppidan; Recep Savas; Timothy Wallis; et al. (MICCAI (8), 2022)

Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. - Ahmed H. Shahin; Joseph Jacob; Daniel C. Alexander; David Barber (MIDL, 2022)

From Sparse to Precise: A Practical Editing Approach for Intracardiac Echocardiography Segmentation. - Ahmed H. Shahin; Yan Zhuang; Noha El-Zehiry (MICCAI (4), 2023)

A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. - Yaozhi Lu; Shahab Aslani; An Zhao; Ahmed H. Shahin; David Barber; Mark Emberton; Daniel C. Alexander; Joseph Jacob (CoRR, 2023)

CenTime: Event-conditional modelling of censoring in survival analysis. - Ahmed H. Shahin; An Zhao; Alexander C. Whitehead; Daniel C. Alexander; Joseph Jacob; David Barber (Medical Image Anal., 2024)

4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis. - An Zhao; Moucheng Xu; Ahmed H. Shahin; Wim A. Wuyts; Mark G. Jones; Joseph Jacob; Daniel C. Alexander (CoRR, 2025)

A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs. - Niccolò McConnell; Pardeep Vasudev; Daisuke Yamada; Daryl Cheng; Mehran Azimbagirad; John McCabe; Shahab Aslani; Ahmed H. Shahin; Yukun Zhou; SUMMIT Consortium; André Altmann; Yipeng Hu; et al. (CoRR, 2025)