Patient-Specific Cranial Nerve Identification Using a Discrete Deformable Contour Model for Skull Base Neurosurgery Planning and Simulation. - Sharmin Sultana; Jason E. Blatt; Yueh Z. Lee; Matthew G. Ewend; Justin S. Cetas; Anthony Costa; Michel A. Audette (CLIP@MICCAI, 2015)

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)

Person identification using SURF features of dental radiograph. - Golam Shams Rabbani; Sharmin Sultana; Md. Nazmul Hasan; Salem Quddus Fahad; Jia Uddin (ICCSP, 2019)

A deformable multimodal image registration using PET/CT and TRUS for intraoperative focal prostate brachytherapy. - Sharmin Sultana; Daniel Y. Song; Junghoon Lee (Image-Guided Procedures, 2019)

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)

Identifying the Writing Style of Bangla Language Using Natural Language Processing. - Syeda Farjana Shetu; Mohd. Saifuzzaman; Masuma Parvin; Nazmun Nessa Moon; Ridwanullah Yousuf; Sharmin Sultana (ICCCNT, 2020)

CNN-based hierarchical coarse-to-fine segmentation of pelvic CT images for prostate cancer radiotherapy. - Sharmin Sultana; Adam Robinson; Daniel Y. Song; Junghoon Lee (Image-Guided Procedures, 2020)

An IoT Prototype for Monitoring Covid19 Patients Using Real Time Data from Wearable Sensor Through Android App. - Zinnia Sultana; Lutfun Nahar; Sharmin Sultana; Farzana Tasnim; Mohammad Shahadat Hossain; Karl Andersson 001 (ICO, 2022)

Unbiased Pain Assessment through Wearables and EHR Data: Multi-attribute Fairness Loss-based CNN Approach. - Sharmin Sultana; Md Mahmudur Rahman 005; Atqiya Munawara Mahi; Shao-Hsien Liu; Mohammad Arif Ul Alam (CoRR, 2023)

Mathematical modeling of toxoplasmosis with multiple hosts, vertical transmission and cat vaccination. - Gilberto González-Parra; Abraham J. Arenas; Benito M. Chen-Charpentier; Sharmin Sultana (Comput. Appl. Math., 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)

Optimizing Cervical Cancer Prediction, Harnessing the Power of Machine Learning for Early Diagnosis. - Mahadi Hasan; Jahirul Islam; Miraz Al Mamun; Afrin Akter Mim; Sharmin Sultana; Md Sanowar Hossain Sabuj (AIIoT, 2024)

Analyzing Neuroimaging Epiphenomena: Machine Learning Approaches in Alzheimer's Prognostication. - Sharmin Sultana; Bushra Uddin; Mohammad Shihab Uddin; Md. Salah Uddin; Fazle Karim; Mohiuddin Mehedi (ICCA, 2024)

Deciphering Oncological Recurrence through Hybridized Machine Learning Paradigms in Thyroid Disorders. - Sharmin Sultana; Salah Uddin; Bushra Uddin; Mohammad Shihab Uddin; Fariha Ferdous Neha (ICCA, 2024)

Epistemological Advancements in Cardiological Forecasting: Machine Learning as a Paradigm for Prognostic Precision. - Bushra Uddin; Mohammad Shihab Uddin; Sharmin Sultana; Md Sanowar Hossain Sabuj; Fariha Ferdous Neha; Md. Salah Uddin (ICCA, 2024)

Landslide vulnerability analysis using frequency ratio (FR) model: a study on Bandarban district, Bangladesh. - Nafis Fuad; Javed Meandad; Ashraful Haque; Rukhsar Sultana; Sumaiya Binte Anwar; Sharmin Sultana (CoRR, 2024)

Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis. - Kazi Hasibul Kabir; Md. Zahiruddin Aqib; Sharmin Sultana; Shamim Akhter (CoRR, 2024)

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation. - Won Seok Jang; Sharmin Sultana; Zonghai Yao; Hieu Tran; Zhichao Yang 001; Sunjae Kwon; Hong Yu 001 (CoRR, 2025)

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning. - Hieu Tran; Zonghai Yao; Won Seok Jang; Sharmin Sultana; Allen Chang; Yuan Zhang; Hong Yu 001 (CoRR, 2025)