Estimation of Channelized Hotelling Observer Performance With Known Class Means or Known Difference of Class Means. - Adam Wunderlich; Frédéric Noo (IEEE Trans. Medical Imaging, 2009)

Band-Restricted Estimation of Noise Variance in Filtered Backprojection Reconstructions Using Repeated Scans. - Adam Wunderlich; Frédéric Noo (IEEE Trans. Medical Imaging, 2010)

A Nonparametric Procedure for Comparing the Areas Under Correlated LROC Curves. - Adam Wunderlich; Frédéric Noo (IEEE Trans. Medical Imaging, 2012)

Seamless insertion of real pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2014)

Seamless Insertion of Pulmonary Nodules in Chest CT Images. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (IEEE Trans. Biomed. Eng., 2015)

Exact Confidence Intervals for Channelized Hotelling Observer Performance in Image Quality Studies. - Adam Wunderlich; Frédéric Noo; Brandon D. Gallas; Marta E. Heilbrun (IEEE Trans. Medical Imaging, 2015)

A utility/cost analysis of breast cancer risk prediction algorithms. - Craig K. Abbey; Yirong Wu; Elizabeth S. Burnside; Adam Wunderlich; Frank W. Samuelson; John M. Boone (Image Perception, Observer Performance, and Technology Assessment, 2016)

MRMC analysis of agreement studies. - Brandon D. Gallas; Amrita Anam; Weijie Chen 007; Adam Wunderlich; Zhiwei Zhang (Image Perception, Observer Performance, and Technology Assessment, 2016)

Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves. - Adam Wunderlich; Bart Goossens; Craig K. Abbey (IEEE Trans. Medical Imaging, 2016)

Reference Datasets for Training and Evaluating RF Signal Detection and Classification Models. - Timothy A. Hall; Raied Caromi; Michael R. Souryal; Adam Wunderlich (GLOBECOM Workshops, 2019)

Deep Learning Classification of 3.5-GHz Band Spectrograms With Applications to Spectrum Sensing. - W. Max Lees; Adam Wunderlich; Peter J. Jeavons; Paul D. Hale; Michael R. Souryal (IEEE Trans. Cogn. Commun. Netw., 2019)

Learning Noise with Generative Adversarial Networks: Explorations with Classical Random Process Models. - Adam Wunderlich; Jack Sklar (CoRR, 2022)

ATIC: Automated Testbed for Interference Testing in Communication Systems. - Michelle Pirrone; M. Keith Forsyth; Jordan Bernhardt; Daniel Kuester; Aric Sanders; Duncan McGillivray; Adam Wunderlich (MILCOM, 2023)

Data-driven modeling of noise time series with convolutional generative adversarial networks ∗. - Adam Wunderlich; Jack Sklar (Mach. Learn. Sci. Technol., 2023)

The Expected Peak-to-Average Power Ratio of White Gaussian Noise in Sampled I/Q Data. - Adam Wunderlich; Aric Sanders (IEEE Trans. Instrum. Meas., 2025)