Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. - Behrouz Saghafi; Prabhat Garg; Benjamin C. Wagner; S. Carrie Smith; Jianzhao Xu; Ananth J. Madhuranthakam; Youngkyoo Jung; Jasmin Divers; Barry I. Freedman; Joseph A. Maldjian; Albert Montillo (DLMIA/ML-CDS@MICCAI, 2017)

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. - Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Sahil S. Nalawade; Gowtham Krishnan Murugesan; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. - Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Gowtham Krishnan Murugesan; Ananth J. Madhuranthakam; Joseph A. Maldjian (ISBI, 2019)

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (1), 2020)

Segmentation of uterus and placenta in MR images using a fully convolutional neural network. - Maysam Shahedi; James D. Dormer; T. T. Anusha Devi; Quyen N. Do; Yin Xi; Matthew A. Lewis; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Computer-Aided Diagnosis, 2020)

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. - Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Divya D. Reddy; Yudhajit Das; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2021)

Disparity Autoencoders for Multi-class Brain Tumor Segmentation. - Chandan Ganesh Bangalore Yogananda; Yudhajit Das; Benjamin C. Wagner; Sahil S. Nalawade; Divya D. Reddy; James M. Holcomb; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2021)

Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS). - Yin Xi; Maysam Shahedi; Quyen N. Do; James D. Dormer; Matthew A. Lewis; Baowei Fei; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler (Computer-Aided Diagnosis, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Automatic segmentation of uterine cavity and placenta on MR images using deep learning. - Maysam Shahedi; James D. Dormer; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. - Ka'Toria N. Leitch; Maysam Shahedi; James D. Dormer; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Computer-Aided Diagnosis, 2022)

CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. - James D. Dormer; Michael Villordon; Maysam Shahedi; Ka'Toria N. Leitch; Quyen N. Do; Yin Xi; Matthew A. Lewis; Ananth J. Madhuranthakam; Christina L. Herrera; Catherine Y. Spong; Diane M. Twickler; Baowei Fei (Image Processing, 2022)

Deep-learning-based automatic segmentation of the placenta and uterine cavity on prenatal MR images. - James Huang; Quyen N. Do; Maysam Shahedi; Yin Xi; Matthew A. Lewis; Christina L. Herrera; David Owen; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Computer-Aided Diagnosis, 2023)

Topography-based feature extraction of the human placenta from prenatal MR images. - James Huang; Maysam Shahedi; Quyen N. Do; Yin Xi; Matthew A. Lewis; Christina L. Herrera; David Owen; Catherine Y. Spong; Ananth J. Madhuranthakam; Diane M. Twickler; Baowei Fei (Image Processing, 2023)

Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. - Divya D. Reddy; Niloufar Saadat; James M. Holcomb; Benjamin C. Wagner; Nghi C. Truong; Jason Bowerman; Kimmo J. Hatanpaa; Toral R. Patel; Marco C. Pinho; Ananth J. Madhuranthakam; Chandan Ganesh Bangalore Yogananda; Joseph A. Maldjian (CVPR Workshops, 2024)