The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

Learned Kernels for Interpretable and Efficient PPG Signal Quality Assessment and Artifact Segmentation. - Sully F. Chen; Zhicheng Guo; Cheng Ding; Xiao Hu 002; Cynthia Rudin (CoRR, 2023)

Computer Vision for Increased Operative Efficiency via Identification of Instruments in the Neurosurgical Operating Room: A Proof-of-Concept Study. - Tanner J. Zachem; Sully F. Chen; Vishal Venkatraman; David A. W. Sykes; Ravi Prakash; Samantha Spellicy; Alexander D. Suarez; Weston A. Ross; Patrick J. Codd (CoRR, 2023)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

Large-Scale Multi-omic Biosequence Transformers for Modeling Peptide-Nucleotide Interactions. - Sully F. Chen; Robert J. Steele; Beakal Lemeneh; Shivanand P. Lad; Eric Oermann (CoRR, 2024)

Sparse learned kernels for interpretable and efficient medical time series processing. - Sully F. Chen; Zhicheng Guo; Cheng Ding; Xiao Hu 002; Cynthia Rudin (Nat. Mac. Intell., 2024)