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The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets.
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Stereotactic radiosurgery for brain metastases: analysis of outcome and risk of brain radionecrosis
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Lakshmi Nayak, Eudocia Quant Lee, and Patrick Y Wen · 2012
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Emeline Tabouret, Olivier Chinot, Philippe Metellus, Agnes Tallet, Patrice Viens, and Anthony Goncalves · 2012
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Patterns of distant brain recurrences after radiosurgery alone for newly diagnosed brain metastases: Implications for salvage therapy
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Consensus recommendations for a standardized brain tumor imaging protocol in clinical trials
Benjamin M Ellingson, Martin Bendszus, Jerrold Boxerman, Daniel Barboriak, Bradley J Erickson, Marion Smits, Sarah J Nelson, Elizabeth Gerstner, Brian Alexander, Gregory Goldmacher, et al · 2015
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Response assessment criteria for brain metastases: proposal from the rano group
Nancy U Lin, Eudocia Q Lee, Hidefumi Aoyama, Igor J Barani, Daniel P Barboriak, Brigitta G Baumert, Martin Bendszus, Paul D Brown, D Ross Camidge, Susan M Chang, et al · 2015
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Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique
Hayit Greenspan, Bram Van Ginneken, and Ronald M Summers · 2016
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Isles 2015-a public evaluation benchmark for ischemic stroke lesion segmentation from multispectral mri
Oskar Maier, Bjoern H Menze, Janina Von der Gablentz, Levin Häni, Mattias P Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, et al · 2017
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Comparing available criteria for measuring brain metastasis response to immunotherapy
Jack M Qian, Amit Mahajan, James B Yu, A John Tsiouris, Sarah B Goldberg, Harriet M Kluger, and Veronica LS Chiang · 2017
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Automatic detection and segmentation of brain metastases on multimodal mr images with a deep convolutional neural network
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Brain cancer imaging phenomics toolkit (brain-captk): an interactive platform for quantitative analysis of glioblastoma
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunc, Ragini Verma, et al · 2018
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The growing importance of lesion volume as a prognostic factor in patients with multiple brain metastases treated with stereotactic radiosurgery
David M Routman, Shelly X Bian, Kevin Diao, Jonathan L Liu, Cheng Yu, Jason Ye, Gabriel Zada, and Eric L Chang · 2018
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Automated brain extraction of multisequence mri using artificial neural networks
Fabian Isensee, Marianne Schell, Irada Pflueger, Gianluca Brugnara, David Bonekamp, Ulf Neuberger, Antje Wick, Heinz-Peter Schlemmer, Sabine Heiland, Wolfgang Wick, et al · 2019
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Xiaoli Tang · 2019
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Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
Khaled Bousabarah, Maximilian Ruge, Julia-Sarita Brand, Mauritius Hoevels, Daniel Rueß, Jan Borggrefe, Nils Große Hokamp, Veerle Visser-Vandewalle, David Maintz, Harald Treuer, et al · 2020
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Automated brain metastases detection framework for t1-weighted contrast-enhanced 3d mri
Engin Dikici, John L Ryu, Mutlu Demirer, Matthew Bigelow, Richard D White, Wayne Slone, Barbaros Selnur Erdal, and Luciano M Prevedello · 2020
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Deep learning enables automatic detection and segmentation of brain metastases on multisequence mri
Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Daniel Rubin, and Greg Zaharchuk · 2020
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Identification from mri with face-recognition software
Krishna Juluru, Eliot Siegel, and Jan Mazura · 2020
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Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases
Timothy J Kaufmann, Marion Smits, Jerrold Boxerman, Raymond Huang, Daniel P Barboriak, Michael Weller, Caroline Chung, Christina Tsien, Paul D Brown, Lalitha Shankar, et al · 2020
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Impact of different scanners and acquisition parameters on robustness of mr radiomics features based on women’s cervix
Honglan Mi, Mingyuan Yuan, Shiteng Suo, Jiejun Cheng, Suqin Li, Shaofeng Duan, and Qing Lu · 2020
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Deliberate practice in medical simulation
Sally A Mitchell and Tanna J Boyer · 2020
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The cancer imaging phenomics toolkit (captk): technical overview
Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, et al · 2020
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Identifying core mri sequences for reliable automatic brain metastasis segmentation
Josef A Buchner, Jan C Peeken, Lucas Etzel, Ivan Ezhov, Michael Mayinger, Sebastian M Christ, Thomas B Brunner, Andrea Wittig, Bjoern H Menze, Claus Zimmer, et al · 2023
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A deep learning-based computer aided detection (cad) system for difficult-to-detect brain metastases
Andrew T Fairchild, Joseph K Salama, Walter F Wiggins, Bradley G Ackerson, Peter E Fecci, John P Kirkpatrick, Scott R Floyd, and Devon J Godfrey · 2023
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Ai pitfalls and what not to do: mitigating bias in ai
Judy Wawira Gichoya, Kaesha Thomas, Leo Anthony Celi, Nabile Safdar, Imon Banerjee, John D Banja, Laleh Seyyed-Kalantari, Hari Trivedi, and Saptarshi Purkayastha · 2023
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Automatic assessment of stereotactic radiation therapy outcome in brain metastasis using longitudinal segmentation on serial mri
Seyed Ali Jalalifar, Hany Soliman, Arjun Sahgal, and Ali Sadeghi-Naini · 2023
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Fully automated brain metastases segmentation using t1-weighted contrast-enhanced mr images before and after stereotactic radiosurgery
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Deep learning–based detection and segmentation-assisted management of brain metastases
Jie Xue, Bao Wang, Yang Ming, Xuejun Liu, Zekun Jiang, Chengwei Wang, Xiyu Liu, Ligang Chen, Jianhua Qu, Shangchen Xu, et al · 2020
Cited alongside, same era.
Deep-learning detection of cancer metastases to the brain on mri
Min Zhang, Geoffrey S Young, Huai Chen, Jing Li, Lei Qin, J Ricardo McFaline-Figueroa, David A Reardon, Xinhua Cao, Xian Wu, and Xiaoyin Xu · 2020
Cited alongside, same era.
Computer-aided detection of brain metastases in t1-weighted mri for stereotactic radiosurgery using deep learning single-shot detectors
Zijian Zhou, Jeremiah W Sanders, Jason M Johnson, Maria K Gule-Monroe, Melissa M Chen, Tina M Briere, Yan Wang, Jong Bum Son, Mark D Pagel, Jing Li, et al · 2020
Cited alongside, same era.
Brain metastasis detection using machine learning: a systematic review and meta-analysis
Se Jin Cho, Leonard Sunwoo, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, and Jae Hyoung Kim · 2021
Cited alongside, same era.
Radiographic read paradigms and the roles of the central imaging laboratory in neuro-oncology clinical trials
Benjamin M Ellingson, Matthew S Brown, Jerrold L Boxerman, Elizabeth R Gerstner, Timothy J Kaufmann, Patricia E Cole, Jeffrey A Bacha, David Leung, Amy Barone, Howard Colman, et al · 2021
Cited alongside, same era.
Eano–esmo clinical practice guidelines for diagnosis, treatment and follow-up of patients with brain metastasis from solid tumours
E Le Rhun, Matthias Guckenberger, Marion Smits, Reinhard Dummer, Thomas Bachelot, Felix Sahm, Norbert Galldiks, Evandro de Azambuja, Anna Sophie Berghoff, Philippe Metellus, et al · 2021
Cited alongside, same era.
Real-time pacs-integrated longitudinal brain metastasis tracking tool provides comprehensive assessment of treatment response to radiosurgery
Gabriel Cassinelli Petersen, Khaled Bousabarah, Tej Verma, Marc von Reppert, Leon Jekel, Ayyuce Gordem, Benjamin Jang, Sara Merkaj, Sandra Abi Fadel, Randy Owens, et al · 2022
Cited alongside, same era.
Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, and Margriet Sitskoorn · 2023
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Pacs-integrated tools for peritumoral edema volumetrics provide additional information to rano-bm-based assessment of lung cancer brain metastases after stereotactic radiotherapy: A pilot study
Manpreet Kaur, Gabriel Cassinelli Petersen, Leon Jekel, Marc von Reppert, Sunitha Varghese, Irene Dixe de Oliveira Santo, Arman Avesta, Sanjay Aneja, Antonio Omuro, Veronica Chiang, et al · 2023
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Gradual self-training via confidence and volume based domain adaptation for multi dataset deep learning-based brain metastases detection using nonlocal networks on mri images
Andrea Liew, Chun Cheng Lee, Valarmathy Subramaniam, Boon Leong Lan, and Maxine Tan · 2023
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Redefining radiology: a review of artificial intelligence integration in medical imaging
Reabal Najjar · 2023
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A comprehensive dataset of annotated brain metastasis mr images with clinical and radiomic data
Beatriz Ocaña-Tienda, Julián Pérez-Beteta, José D Villanueva-García, José A Romero-Rosales, David Molina-García, Yannick Suter, Beatriz Asenjo, David Albillo, Ana Ortiz de Mendivil, Luis A Pérez-Romasanta, et al · 2023
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Longitudinal deep neural networks for assessing metastatic brain cancer on a massive open benchmark
Eric Oermann, Katherine Link, Zane Schnurman, Chris Liu, Young Joon Fred Kwon, Lavender Yao Jiang, Mustafa Nasir-Moin, Sean Neifert, Juan Alzate, Kenneth Bernstein, et al · 2023
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2.5 d and 3d segmentation of brain metastases with deep learning on multinational mri data
Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L Rubin, et al · 2023
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How artificial intelligence is shaping medical imaging technology: A survey of innovations and applications
Luís Pinto-Coelho · 2023
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A large open access dataset of brain metastasis 3d segmentations with clinical and imaging feature information
Divya Ramakrishnan, Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki, Matthew Sala, Manpreet Kaur, Gabriel Cassinelli Petersen, Sara Merkaj, et al · 2023
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Rano 2.0: update to the response assessment in neuro-oncology criteria for high-and low-grade gliomas in adults
Patrick Y Wen, Martin van den Bent, Gilbert Youssef, Timothy F Cloughesy, Benjamin M Ellingson, Michael Weller, Evanthia Galanis, Daniel P Barboriak, John de Groot, Mark R Gilbert, et al · 2023
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The importance of data domain on self-supervised learning for brain metastasis detection and segmentation
Youngjin Yoo, Gengyan Zhao, Andreea E Sandu, Thomas J Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, et al · 2023
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Automated brain metastases segmentation with a deep dive into false-positive detection
Hamidreza Ziyaee, Carlos E Cardenas, D Nana Yeboa, Jing Li, Sherise D Ferguson, Jason Johnson, Zijian Zhou, Jeremiah Sanders, Raymond Mumme, Laurence Court, et al · 2023
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Understanding bias in artificial intelligence: A practice perspective
Melissa A Davis, Ona Wu, Ichiro Ikuta, John E Jordan, Michele H Johnson, and Edward Quigley · 2024
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Incidence and imaging characteristics of difficult to detect retrospectively identified brain metastases in patients receiving repeat courses of stereotactic radiosurgery
Andrew Fairchild, Joseph K Salama, Devon Godfrey, Walter F Wiggins, Bradley G Ackerson, Taofik Oyekunle, Donna Niedzwiecki, Peter E Fecci, John P Kirkpatrick, and Scott R Floyd · 2024
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Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study
Hana Jeong, Ji Eun Park, NakYoung Kim, Shin-Kyo Yoon, and Ho Sung Kim · 2024
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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 P Hess, et al · 2024
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Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research
James Shaw, Joseph Ali, Caesar A Atuire, Phaik Yeong Cheah, Armando Guio Español, Judy Wawira Gichoya, Adrienne Hunt, Daudi Jjingo, Katherine Littler, Daniela Paolotti, et al · 2024
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A guideline for open-source tools to make medical imaging data ready for artificial intelligence applications: A society of imaging informatics in medicine (siim) survey
Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine P Andriole, Peter Chang, et al · 2024
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Drop the shortcuts: image augmentation improves fairness and decreases ai detection of race and other demographics from medical images
Ryan Wang, Po-Chih Kuo, Li-Ching Chen, Kenneth Patrick Seastedt, Judy Wawira Gichoya, and Leo Anthony Celi · 2024
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