Andreas M. Rauschecker

According to our database, Andreas M. Rauschecker authored at least 13 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation.

Shiv Ghosh, Junayd Lateef, Chih-Hua Liu, Yannan Yu, Andreas M. Rauschecker, Madhumita Sushil

CoRR, May, 2026

Social media use and early adolescent brain structure: Findings from the Adolescent Brain Cognitive Development (ABCD) Study.

Jason M. Nagata, Kevin Bao, Stuart B. Murray, Pierre Nedelec, Racquel A. Richardson, Sahana Nayak, Elizabeth J. Li, Jennifer H. Wong, Eva M. Müller-Oehring, Aaron W. Scheffler, Fiona C. Baker, Andreas M. Rauschecker, Leo P. Sugrue

NeuroImage, 2026

2025

Automated Lesion and Feature Extraction Pipeline for Brain MRIs with Interpretability.

Reza Eghbali, Pierre Nedelec, David A. Weiss, Radhika Bhalerao, Long Xie, Jeffrey D. Rudie, Chunlei Liu, Leo P. Sugrue, Andreas M. Rauschecker

Neuroinformatics, January, 2025

Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth.

Daria Laslo, Efthymios Georgiou, Marius George Linguraru, Andreas M. Rauschecker, Sabine Mueller, Catherine R. Jutzeler, Sarah C. Brüningk

Proceedings of the Learning with Longitudinal Medical Images and Data, 2025

2024

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.

Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese

CoRR, 2024

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.

Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie

CoRR, 2024

Domain Influence in MRI Medical Image Segmentation: Spatial Versus k-Space Inputs.

Erik Gösche, Reza Eghbali, Florian Knoll, Andreas M. Rauschecker

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

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, James A. Eddy, Ivan Ezhov, Devon Godfrey, Fathi Hilal, Ariana Familiar, Keyvan Farahani, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Anahita Fathi Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Koen Van Leemput, Hongwei Bran Li, Xinyang Liu, Aria Mahtabfar, Shan McBurney-Lin, Ryan McLean, Zeke Meier, Ahmed W. Moawad, John Mongan, Pierre Nedelec, Maxence Pajot, Marie Piraud, Arif Rashid, Zachary Reitman, Russell Takeshi Shinohara, Yury Velichko, Chunhao Wang, Pranav I. Warman, Walter I. Wiggins, Mariam Aboian, Jake Albrecht, Udunna Anazodo, Spyridon Bakas, Adam E. Flanders, Anastasia Janas, Goldey Khanna, Marius George Linguraru, Bjoern H. Menze, Ayman Nada, Andreas M. Rauschecker, Jeffrey D. Rudie, Nourel Hoda Tahon, Javier E. Villanueva-Meyer, Benedikt Wiestler, Evan Calabrese

CoRR, 2023

The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

Jeffrey D. Rudie, Rachit Saluja, David A. Weiss, Pierre Nedelec, Evan Calabrese, John B. Colby, Benjamin Laguna, John Mongan, Steve Braunstein, Christopher Paul Hess, Andreas M. Rauschecker, Leo P. Sugrue, Javier E. Villanueva-Meyer

CoRR, 2023

2021

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker

J. Digit. Imaging, 2021

The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset.

Evan Calabrese, Javier E. Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas, John Mongan, Christopher Hess, Soonmee Cha

CoRR, 2021

2019

Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network.

Jeffrey D. Rudie, David A. Weiss, Rachit Saluja, Andreas M. Rauschecker, Jiancong Wang, Leo Sugrue, Spyridon Bakas, John B. Colby

Frontiers Comput. Neurosci., 2019

2016

App Review Series: RadioGraphics.

Andreas M. Rauschecker, Tessa Sundaram Cook

J. Digit. Imaging, 2016