Sadia Shakil

16 papers Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models.
MICCAI (14)
Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2025 J jnl
Large Language Model Agents Enable Autonomous Design and Image Analysis of Microwell Microfluidics.
CoRR
Dinh-Nguyen Nguyen, Sadia Shakil, Raymond Kai-Yu Tong, Ngoc-Duy Dinh
2024 J jnl
EEG-based stress identification and classification using deep learning.
Multim. Tools Appl.
Muhammad Adeel Hafeez, Sadia Shakil
2024 J jnl
End-to-End Multi-task Learning Architecture for Brain Tumor Analysis with Uncertainty Estimation in MRI Images.
J. Imaging Inform. Medicine
Maria Nazir, Sadia Shakil, Khurram Khurshid
2024 J jnl
IG-GCN: Empowering e-Health Services for Alzheimer's Disease Prediction.
IEEE Trans. Consumer Electron.
Xinyi Chen, Weiheng Yao, Ye Li, Dong Liang, Hairong Zheng, Sadia Shakil, Shuqiang Wang, Tao Sun
2022 J jnl
Multi-task learning architecture for brain tumor detection and segmentation in MRI images.
J. Electronic Imaging
Maria Nazir, Muhammad Junaid Ali, Zahid Tufail, Ahmad Raza Shahid, Basit Raza, Sadia Shakil, Khurram Khurshid
2021 J jnl
Role of deep learning in brain tumor detection and classification (2015 to 2020): A review.
Comput. Medical Imaging Graph.
Maria Nazir, Sadia Shakil, Khurram Khurshid
2018 J jnl
Parametric Dependencies of Sliding Window Correlation.
IEEE Trans. Biomed. Eng.
Sadia Shakil, Jacob C. Billings, Shella D. Keilholz, Chin-Hui Lee
2017 J jnl
Instantaneous brain dynamics mapped to a continuous state space.
NeuroImage
Jacob C. Billings, Alessio Medda, Sadia Shakil, Xiaohong Shen, Amrit Kashyap, Shiyang Chen, Anzar Abbas, Xiaodi Zhang, Maysam Nezafati, Wen-Ju Pan, Gordon J. Berman, Shella D. Keilholz
2017 J jnl
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.
NeuroImage
Shella D. Keilholz, Wen-Ju Pan, Jacob C. Billings, Maysam Nezafati, Sadia Shakil
2016 — conf
Adaptive change point detection of dynamic functional connectivity networks.
EMBC
Sadia Shakil, Shella D. Keilholz, Chin-Hui Lee
2016 J jnl
Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states.
NeuroImage
Sadia Shakil, Chin-Hui Lee, Shella Dawn Keilholz
2016 — conf
Multiscale network activity in resting state fMRI.
EMBC
Shella D. Keilholz, Jacob C. Billings, Kai Wang, Anzar Abbas, Claudia Hafeneger, Wen-Ju Pan, Sadia Shakil, Maysam Nezafati
2016 — —
Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain.
Sadia Shakil
2015 — conf
On frequency dependencies of sliding window correlation.
BIBM
Sadia Shakil, Shella Dawn Keilholz, Chin-Hui Lee
2014 — conf
Cluster-based analysis for characterizing dynamic functional connectivity.
EMBC
Sadia Shakil, Matthew Evan Magnuson, Shella D. Keilholz, Chin-Hui Lee