Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. - Isabella Nogues; Le Lu 001; Xiaosong Wang 001; Holger Roth; Gedas Bertasius; Nathan Lay; Jianbo Shi; Yohannes Tsehay; Ronald M. Summers (MICCAI (2), 2016)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

Between-tumor and within-tumor heterogeneity in invasive potential. - Veena Padmanaban; Yohannes Tsehay; Kevin J. Cheung; Andrew J. Ewald; Joel S. Bader (PLoS Comput. Biol., 2020)

Computational modeling towards focused ultrasound therapy for spinal cord injury: visualization of beam propagation through patient-specific anatomy. - Avisha Kumar; Yohannes Tsehay; Eduardo A. Gonzalez; Max J. Kerensky; Muyinatu A. Lediju Bell; Nicholas Theodore; Nitish V. Thakor; Amir Manbachi (Image-Guided Procedures, 2023)

Low-Intensity Pulsed Ultrasound Neuromodulation of a Rodent's Spinal Cord Suppresses Motor Evoked Potentials. - Yohannes Tsehay; Yinuo Zeng; Carly Weber-Levine; Tolulope Awosika; Max J. Kerensky; Andrew M. Hersh; Ze Ou; Kelly Jiang; Meghana Bhimreddy; Stuart J. Bauer; John N. Theodore; Victor M. Quiroz; et al. (IEEE Trans. Biomed. Eng., 2023)