A Dynamic Imaging Database for 3-D Morphologic Analysis and Clinical Assessment in Diagnostic Radiology. - Gabriela Niculescu; Louay Toni; David J. Foran; John L. Nosher; Kevin J. DeMarco (AMIA, 2002)

Surface reconstruction from orthogonal contours. - Hong Zhang; John L. Nosher; Peter J. Yim (Image-Guided Procedures, 2006)

Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. - Shannon C. Agner; Salil Soman; Edward Libfeld; Margie McDonald; Mark A. Rosen; Mitchell D. Schnall; Deanna Chin; John L. Nosher; Anant Madabhushi (Computer-Aided Diagnosis, 2008)

A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform. - Lin Yang 002; Leiguang Gong; Hong Zhang; John L. Nosher; David J. Foran (Euro-Par, 2009)

3D Segmentation of the Liver Using Free-Form Deformation Based on Boosting and Deformation Gradients. - Hong Zhang; Lin Yang; David J. Foran; John L. Nosher; Peter J. Yim (ISBI, 2009)

A deformable model for tracking tumors across consecutive imaging studies. - Gabriela Niculescu; John L. Nosher; M. D. Benjamin Schneider; David J. Foran (Int. J. Comput. Assist. Radiol. Surg., 2009)

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. - Shannon Agner; Salil Soman; Edward Libfeld; Margie McDonald; Kathleen Thomas; Sarah Englander; Mark A. Rosen; Deanna Chin; John L. Nosher; Anant Madabhushi (J. Digit. Imaging, 2011)

A Support Vector Machine based Prediction Model for Discrimination of Malignant Pulmonary Nodules from Benign Nodules. - Yan Wu; Emmanuel Zachariah; Judith Amorosa; Anjani Naidu; Mina L. Labib; Jamil Shaikh; Donna Eckstein; Sinae Kim; John E. Langenfeld; Joseph Aisner; John L. Nosher; Robert S. DiPaola; et al. (BIOIMAGING, 2016)

Enhancement of Needle Tip and Shaft from 2D Ultrasound Using Signal Transmission Maps. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (MICCAI (1), 2016)

Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (CARE/CLIP@MICCAI, 2017)

Signal attenuation maps for needle enhancement and localization in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2018)

Convolution neural networks for real-time needle detection and localization in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2018)

Single Shot Needle Tip Localization in 2D Ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (MICCAI (5), 2019)

Learning needle tip localization from digital subtraction in 2D ultrasound. - Cosmas Mwikirize; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2019)

Multi-feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data. - Hui Che; Jared Radbel; Jag Sunderram; John L. Nosher; Vishal M. Patel; Ilker Hacihaliloglu (EMBC, 2021)

Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease. - Hui Che; Sumana Ramanathan; David J. Foran; John L. Nosher; Vishal M. Patel; Ilker Hacihaliloglu (ASMUS@MICCAI, 2021)

Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (MLMI@MICCAI, 2021)

Liver disease classification from ultrasound using multi-scale CNN. - Hui Che; Lloyd G. Brown; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Time-aware deep neural networks for needle tip localization in 2D ultrasound. - Cosmas Mwikirize; Alvin B. Kimbowa; Sylvia Imanirakiza; Andrew Katumba; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network. - Xiao Qi; Lloyd G. Brown; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (MILLanD@MICCAI, 2022)

Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis. - Xiao Qi; David J. Foran; John L. Nosher; Ilker Hacihaliloglu (CoRR, 2023)