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We present VoxelPrompt, an end-to-end image analysis agent that tackles free-form radiological tasks.
Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults
Daniel S Marcus, Tracy H Wang, Jamie Parker, John G Csernansky, John C Morris, and Randy L Buckner · 2007
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Freesurfer
Bruce Fischl · 2012
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Within-subject template estimation for unbiased longitudinal image analysis
Martin Reuter, Nicholas J Schmansky, H Diana Rosas, and Bruce Fischl · 2012
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A high-resolution 7-tesla fmri dataset from complex natural stimulation with an audio movie
Michael Hanke, Florian J Baumgartner, Pierre Ibe, Falko R Kaule, Stefan Pollmann, Oliver Speck, Wolf Zinke, and Jörg Stadler · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei
Wolfgang M Pauli, Amanda N Nili, and J Michael Tyszka · 2018
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Individual brain charting, a high-resolution fmri dataset for cognitive mapping
Ana Luísa Pinho, Alexis Amadon, Torsten Ruest, Murielle Fabre, Elvis Dohmatob, Isabelle Denghien, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Laurence Laurier, et al · 2018
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A mind-brain-body dataset of mri, eeg, cognition, emotion, and peripheral physiology in young and old adults
Anahit Babayan, Miray Erbey, Deniz Kumral, Janis D Reinelt, Andrea MF Reiter, Josefin Röbbig, H Lina Schaare, Marie Uhlig, Alfred Anwander, Pierre-Louis Bazin, et al · 2019
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the wmh segmentation challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, et al · 2019
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Oasis-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and alzheimer disease
Pamela J LaMontagne, Tammie LS Benzinger, John C Morris, Sarah Keefe, Russ Hornbeck, Chengjie Xiong, Elizabeth Grant, Jason Hassenstab, Krista Moulder, Andrei G Vlassenko, et al · 2019
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A u-net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Jan Sobesky, John D Kelleher, Kristian Hildebrand, Dietmar Frey, et al · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2019
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Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, et al · 2019
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Fastsurfer - a fast and accurate deep learning based neuroimaging pipeline
Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, and Martin Reuter · 2020
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Brave-net: fully automated arterial brain vessel segmentation in patients with cerebrovascular disease
Adam Hilbert, Vince I Madai, Ela M Akay, Orhun U Aydin, Jonas Behland, Jan Sobesky, Ivana Galinovic, Ahmed A Khalil, Abdel A Taha, Jens Wuerfel, et al · 2020
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Intracranial hemorrhage segmentation using a deep convolutional model
Murtadha D Hssayeni, Muayad S Croock, Aymen D Salman, Hassan Falah Al-Khafaji, Zakaria A Yahya, and Behnaz Ghoraani · 2020
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Simulation of brain resection for cavity segmentation using self-supervised and semi-supervised learning
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S Duncan, and Sébastien Ourselin · 2020
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‘squeeze & excite’guided few-shot segmentation of volumetric images
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, and Christian Wachinger · 2020
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Extending unsupervised neural image compression with supervised multitask learning
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen Laak, and Francesco Ciompi · 2020
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A high-resolution interactive atlas of the human brainstem using magnetic resonance imaging
Syed M Adil, Evan Calabrese, Lefko T Charalambous, James J Cook, Shervin Rahimpour, Ahmet F Atik, Gary P Cofer, Beth A Parente, G Allan Johnson, Shivanand P Lad, et al · 2021
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Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C Kitamura, Sarthak Pati, et al · 2021
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Joint registration and segmentation via multi-task learning for adaptive radiotherapy of prostate cancer
Mohamed S Elmahdy, Laurens Beljaards, Sahar Yousefi, Hessam Sokooti, Fons Verbeek, Uulke A Van Der Heide, and Marius Staring · 2021
Cited alongside, same era.
A deep learning toolbox for automatic segmentation of subcortical limbic structures from mri images
Douglas N Greve, Benjamin Billot, Devani Cordero, Andrew Hoopes, Malte Hoffmann, Adrian V Dalca, Bruce Fischl, Juan Eugenio Iglesias, and Jean C Augustinack · 2021
Cited alongside, same era.
Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke
Chin-Fu Liu, Johnny T. C. Hsu, Xin Xu, Sandhya Ramachandran, Victor Wang, Michael I. Miller, Argye Elizabeth Hillis, Andreia Vasconcellos Faria, Max Steven J. Gregory W. Stephen M. James C. Werner Do Wintermark Warach Albers Davis Grotta Hacke Kang K, Max Wintermark, Steven J. Warach, Gregory W. Albers, Stephen M. Davis, James Charles Grotta, Werner Hacke, Dong-Wha Kang, Chelsea Kidwell, Walter J. Koroshetz, Kennedy R. Lees, Michael H. Lev, David S. Liebeskind, A. Gregory Sorensen, Vincent N. Thijs, Götz Thomalla, Joanna Marguerite Wardlaw, and Marie Luby · 2021
Cited alongside, same era.
Mideepseg: Minimally interactive segmentation of unseen objects from medical images using deep learning
Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, and Shaoting Zhang · 2021
Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, and Niko Suenderhauf · 2023
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Tptu: Task planning and tool usage of large language model-based ai agents
Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, et al · 2023
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Modular visual question answering via code generation
Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, and Dan Klein · 2023
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Vipergpt: Visual inference via python execution for reasoning
Dídac Surís, Sachit Menon, and Carl Vondrick · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Cermep-idb-mrxfdg: A database of 37 normal adult human brain [18f] fdg pet, t1 and flair mri, and ct images available for research
Inés Mérida, Julien Jung, Sandrine Bouvard, Didier Le Bars, Sophie Lancelot, Franck Lavenne, Caroline Bouillot, Jérôme Redouté, Alexander Hammers, and Nicolas Costes · 2021
Cited alongside, same era.
Metaicl: Learning to learn in context
Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi · 2021
Cited alongside, same era.
The worldwide alzheimer’s disease neuroimaging initiative: Adni-3 updates and global perspectives
Christopher J Weber, Maria C Carrillo, William Jagust, Clifford R Jack Jr, Leslie M Shaw, John Q Trojanowski, Andrew J Saykin, Laurel A Beckett, Cyrille Sur, Naren P Rao, et al · 2021
Cited alongside, same era.
An explanation of in-context learning as implicit bayesian inference
Sang Michael Xie, Aditi Raghunathan, Percy Liang, and Tengyu Ma · 2021
Cited alongside, same era.
Isles 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Moritz R Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning, Roland Wiest, Waldo Valenzuela, Mauricio Reyes, Maria Meyer, Sook-Lei Liew, Florian Kofler, Ivan Ezhov, et al · 2022
Cited alongside, same era.
Synthstrip: Skull-stripping for any brain image
Andrew Hoopes, Jocelyn S Mora, Adrian V Dalca, Bruce Fischl, and Malte Hoffmann · 2022
Cited alongside, same era.
Inner monologue: Embodied reasoning through planning with language models
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, et al · 2022
Cited alongside, same era.
A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms
Sook-Lei Liew, Bethany P Lo, Miranda R Donnelly, Artemis Zavaliangos-Petropulu, Jessica N Jeong, Giuseppe Barisano, Alexandre Hutton, Julia P Simon, Julia M Juliano, Anisha Suri, et al · 2022
Cited alongside, same era.
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Scribbleprompt: Fast and flexible interactive segmentation for any medical image
Hallee E Wong, Marianne Rakic, John Guttag, and Adrian V Dalca · 2023
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Bhsd: A 3d multi-class brain hemorrhage segmentation dataset
Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, and Minh-Son To · 2023
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Mm-react: Prompting chatgpt for multimodal reasoning and action
Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Ehsan Azarnasab, Faisal Ahmed, Zicheng Liu, Ce Liu, Michael Zeng, and Lijuan Wang · 2023
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Maira-2: Grounded radiology report generation
Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Anton Schwaighofer, Sam Bond-Taylor, Maximilian Ilse, Fernando Pérez-García, Valentina Salvatelli, Harshita Sharma, Felix Meissen, et al · 2024
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Learning general-purpose biomedical volume representations using randomized synthesis
Neel Dey, Benjamin Billot, Hallee E Wong, Clinton J Wang, Mengwei Ren, P Ellen Grant, Adrian V Dalca, and Polina Golland · 2024
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Synthetic data in generalizable, learning-based neuroimaging
Karthik Gopinath, Andrew Hoopes, Daniel C Alexander, Steven E Arnold, Yael Balbastre, Benjamin Billot, Adrià Casamitjana, You Cheng, Russ Yue Zhi Chua, Brian L Edlow, et al · 2024
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Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
Malte Hoffmann, Andrew Hoopes, Douglas N. Greve, Bruce Fischl, and Adrian V. Dalca · 2024
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A multi-institutional meningioma mri dataset for automated multi-sequence image segmentation
Dominic LaBella, Omaditya Khanna, Shan McBurney-Lin, Ryan Mclean, Pierre Nedelec, Arif S Rashid, Nourel Hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, et al · 2024
Closest in time.
Mmedagent: Learning to use medical tools with multi-modal agent
Binxu Li, Tiankai Yan, Yuanting Pan, Zhe Xu, Jie Luo, Ruiyang Ji, Shilong Liu, Haoyu Dong, Zihao Lin, and Yixin Wang · 2024
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Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang · 2024
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Tyche: Stochastic in-context learning for medical image segmentation
Marianne Rakic, Hallee E Wong, Jose Javier Gonzalez Ortiz, Beth Cimini, John Guttag, and Adrian V Dalca · 2024
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A foundation model for brain lesion segmentation with mixture of modality experts
Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M Matthews, Chuyang Ye, et al · 2024
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Biomedparse: a biomedical foundation model for image parsing of everything everywhere all at once
Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Brian Piening, Carlo Bifulco, et al · 2024
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A generalist learner for multifaceted medical image interpretation
Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J Topol, and Pranav Rajpurkar · 2024
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nninteractive: Redefining 3d promptable segmentation
Fabian Isensee, Maximilian Rokuss, Lars Krämer, Stefan Dinkelacker, Ashis Ravindran, Florian Stritzke, Benjamin Hamm, Tassilo Wald, Moritz Langenberg, Constantin Ulrich, et al · 2025
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Explain before you answer: A survey on compositional visual reasoning
Fucai Ke, Joy Hsu, Zhixi Cai, Zixian Ma, Xin Zheng, Xindi Wu, Sukai Huang, Weiqing Wang, Pari Delir Haghighi, Gholamreza Haffari, et al · 2025
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A modality-agnostic multi-task foundation model for human brain imaging
Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, Daniel C Alexander, W Taylor Kimberly, and Juan E Iglesias · 2025
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Pedims: A pediatric multiple sclerosis lesion segmentation dataset
Maria Popa, Gabriela Adriana Vișa, and Ciprian Radu Șofariu · 2025
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Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Hui Hui, Yanfeng Wang, and Weidi Xie · 2025
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