Tang, Dennis, Willard, Frank, Tegerdine, Ronan, Triplett, Luke, Donnelly, Jon, Moffett, Luke, Semenova, Lesia, Barnett, Alina Jade, Jing, Jin, Rudin, Cynthia, and Westover, Brandon. ProtoEEGNet: an interpretable approach for detecting interictal epileptiform discharges. Retrieved from https://par.nsf.gov/biblio/10532487.

Tang, Dennis, Willard, Frank, Tegerdine, Ronan, Triplett, Luke, Donnelly, Jon, Moffett, Luke, Semenova, Lesia, Barnett, Alina Jade, Jing, Jin, Rudin, Cynthia, & Westover, Brandon. ProtoEEGNet: an interpretable approach for detecting interictal epileptiform discharges. Retrieved from https://par.nsf.gov/biblio/10532487.

Tang, Dennis, Willard, Frank, Tegerdine, Ronan, Triplett, Luke, Donnelly, Jon, Moffett, Luke, Semenova, Lesia, Barnett, Alina Jade, Jing, Jin, Rudin, Cynthia, and Westover, Brandon. "ProtoEEGNet: an interpretable approach for detecting interictal epileptiform discharges". Country unknown/Code not available: arXiv; Medical Imaging Meets NeurIPS Workshop (NeurIPS 2023). https://par.nsf.gov/biblio/10532487.

@article{osti_10532487,
place = {Country unknown/Code not available}, title = {ProtoEEGNet: an interpretable approach for detecting interictal epileptiform discharges}, url = {https://par.nsf.gov/biblio/10532487}, abstractNote = {}, journal = {}, publisher = {arXiv; Medical Imaging Meets NeurIPS Workshop (NeurIPS 2023)}, author = {Tang, Dennis and Willard, Frank and Tegerdine, Ronan and Triplett, Luke and Donnelly, Jon and Moffett, Luke and Semenova, Lesia and Barnett, Alina Jade and Jing, Jin and Rudin, Cynthia and Westover, Brandon}, }