Application and histology-driven refinement of active contour models to functional region and nerve delineation: towards a digital brainstem atlas. - Nirmal Patel; Sharmin Sultana; Tanweer Rashid; Dean J. Krusienski; Michel A. Audette (Image-Guided Procedures, 2015)

Simplex-based surface and contour models for segmentation and meshing for surgery simulation. - Michel A. Audette; Rabia Haq; Tanweer Rashid; Sharmin Sultana (SpringSim (MSM), 2015)

Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification. - Sharmin Sultana; Praful Agrawal; Shireen Y. Elhabian; Ross T. Whitaker; Tanweer Rashid; Jason E. Blatt; Justin S. Cetas; Michel A. Audette (CLIP@MICCAI, 2016)

2-manifold surface meshing using dual contouring with tetrahedral decomposition. - Tanweer Rashid; Sharmin Sultana; Michel A. Audette (Adv. Eng. Softw., 2016)

Deformable Multi-material 2-Simplex Surface Mesh for Intraoperative MRI-Ready Surgery Planning and Simulation, with Deep-Brain Stimulation Applications. - Tanweer Rashid; Sharmin Sultana; Gregory S. Fischer; Julie Pilitsis; Michel A. Audette (BIVPCS/POCUS@MICCAI, 2017)

Towards an anatomical modeling pipeline for simulation and accurate navigation for brain and spine surgery. - Michel A. Audette; Tanweer Rashid; Shrabani Ghosh; Nirmal Patel; Sharmin Sultana (SummerSim, 2017)

MRI-Based Medial Axis Extraction and Boundary Segmentation of Cranial Nerves Through Discrete Deformable 3D Contour and Surface Models. - Sharmin Sultana; Jason E. Blatt; Benjamin Gilles; Tanweer Rashid; Michel A. Audette (IEEE Trans. Medical Imaging, 2017)

Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models. - Sharmin Sultana; Praful Agrawal; Shireen Y. Elhabian; Ross T. Whitaker; Jason E. Blatt; Benjamin Gilles; Justin S. Cetas; Tanweer Rashid; Michel A. Audette (Int. J. Comput. Assist. Radiol. Surg., 2019)

Cerebral Microbleed Detection Via Fourier Descriptor with Dual Domain Distribution Modeling. - Hangfan Liu; Tanweer Rashid; Mohamad Habes (ISBI Workshops, 2020)

DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. - Tanweer Rashid; Ahmed Abdulkadir; Ilya M. Nasrallah; Jeffrey B. Ware; Pascal Spincemaille; J. Rafael Romero; R. Nick Bryan; Susan R. Heckbert; Mohamad Habes (CoRR, 2020)

Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. - Hangfan Liu; Tanweer Rashid; Jeffrey B. Ware; Paul Jensen; Thomas Austin; Ilya M. Nasrallah; Robert B. Fisher; Susan R. Heckbert; Mohamad Habes (MICCAI (6), 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. - Tanweer Rashid; Hangfan Liu; Jeffrey B. Ware; Karl Li; Jose Rafael Romero; Elyas Fadaee; Ilya M. Nasrallah; Saima Hilal; R. Nick Bryan; Timothy M. Hughes; Christos Davatzikos; Lenore J. Launer; et al. (CoRR, 2022)

Multi-Material, Approach-Guided, Controlled-Resolution Breast Meshing for Fe-Based Interactive Surgery Simulation. - Motaz Alqaoud; John Plemmons; Eric Feliberti; Krishnanand N. Kaipa; Gabor Fichtinger; Yiming Xiao; Tanweer Rashid; Michel A. Audette (ANNSIM, 2023)

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans. - Anoop Benet Nirmala; Tanweer Rashid; Elyas Fadaee; Nicolas Honnorat; Karl Li; Sokratis Charisis; Di Wang; Aishwarya Vemula; Jinqi Li; Peter Fox 002; Timothy E. Richardson; Jamie M. Walker; et al. (MLCN@MICCAI, 2023)

Atlas-Based Shared-Boundary Deformable Multi-Surface Models through Multi-Material and Two-Manifold Dual Contouring. - Tanweer Rashid; Sharmin Sultana; Mallar Chakravarty; Michel Albert Audette (Inf., 2023)

ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data. - Hangfan Liu; Michel J. Grothe; Tanweer Rashid; Miguel A. Labrador-Espinosa; Jon B. Toledo; Mohamad Habes (IEEE Trans. Emerg. Top. Comput. Intell., 2023)