Triple Quantum Filtered Sodium MRI of Primary Brain Tumors. - Fernando E. Boada; Denise Davis; Kevin Walter; Alejandro Torres-Trejo; Douglas Kondziolka; Walter Bartynski; Frank Lieberman (ISBI, 2004)

Toward Effective Needle Steering in Brain Tissue. - Johnathan A. Engh; Gregg Podnar; Douglas Kondziolka; Cameron N. Riviere (EMBC, 2006)

Extraction of Sources of Tremor in Hand Movements of Patients With Movement Disorders. - Ramana Vinjamuri; Donald J. Crammond; Douglas Kondziolka; Heung-No Lee; Zhi-Hong Mao (IEEE Trans. Inf. Technol. Biomed., 2009)

Development, Implementation, and Use of a Local and Global Clinical Registry for Neurosurgery. - Douglas Kondziolka; Benjamin T. Cooper; L. Dade Lunsford; Joshua Silverman (Big Data, 2015)

QAPD: An integrated system to quantify symptoms of Parkinson's disease. - Vrajeshri Patel; Martin K. Burns; Michael Pourfar; Alon Mogilner; Douglas Kondziolka; Ramana Vinjamuri (EMBC, 2016)

Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery. - Annika Brundyn; Jesse Swanson; Kyunghyun Cho; Doug Kondziolka; Eric K. Oermann (CoRR, 2021)

Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer. - Brian Murphy; Mustafa Nasir-Moin; Grace von Oiste; Viola Chen; Howard Antony Riina; Douglas Kondziolka; Eric K. Oermann (CoRR, 2021)

Identifying and mitigating bias in algorithms used to manage patients in a pandemic. - Yifan Li; Garrett Yoon; Mustafa Nasir-Moin; David Rosenberg; Sean Neifert; Douglas Kondziolka; Eric Karl Oermann (CoRR, 2021)

The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. - Youngjin Yoo; Gengyan Zhao; Andreea Sandu; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; et al. (Computer-Aided Diagnosis, 2023)

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. - Gengyan Zhao; Youngjin Yoo; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; Rajan Jain; et al. (Image Processing, 2023)

Health system-scale language models are all-purpose prediction engines. - Lavender Yao Jiang; Xujin Chris Liu; Nima Pour Nejatian; Mustafa Nasir-Moin; Duo Wang; Anas Z. Abidin; Kevin Eaton; Howard Antony Riina; Ilya Laufer; Paawan Punjabi; Madeline Miceli; Nora C. Kim; et al. (Nat., 2023)

Repurposing the scientific literature with vision-language models. - Anton Alyakin; Jaden Stryker; Daniel Alexander Alber; Karl L. Sangwon; Brandon Duderstadt; Akshay Save; David Kurland; Spencer Frome; Shrutika Singh; Jeff Zhang 004; Eunice Yang; Ki Yun Park; et al. (CoRR, 2025)

Medical large language models are easily distracted. - Krithik Vishwanath; Anton Alyakin; Daniel Alexander Alber; Jin Vivian Lee; Douglas Kondziolka; Eric Karl Oermann (CoRR, 2025)

Evaluating the performance and fragility of large language models on the self-assessment for neurological surgeons. - Krithik Vishwanath; Anton Alyakin; Mrigayu Ghosh; Jin Vivian Lee; Daniel Alexander Alber; Karl L. Sangwon; Douglas Kondziolka; Eric Karl Oermann (CoRR, 2025)