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Jeff Rudie, MD PhD
@RadRudie
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Neuroradiologist @ScrippsHealth & Assist Adjunct Professor @UCSDImaging | @PennRadiology @UCSFImaging alum | #Neuroradiology #AI | Dad | Drone Videographer
San Diego, CA
Joined May 2017
RT @Radiology_AI: RSNA Abdominal Traumatic Injury CT (RATIC) dataset contains 4274 abdominal CTs with annotations related to traumatic inju…
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RT @Tugba_Akinci_MD: Check out our new commentary with @RadRudie, in which we discuss the results of the new study by Wu et al. ⚫️ Comment…
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RT @Radiology_AI: @Tugba_Akinci_MD @RadRudie discuss a weakly supervised model to automatically detect & localize image-level intracranial…
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RT @Radiology_AI: #RATIC is the largest & most geographically diverse, publicly available expert-annotated dataset of abdominal trauma CTs…
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Here we address limitations of traditional tumor segmentation models by segmenting infiltrative and enhancing cellular tumor #RSI Congrats to first author Louis Gagnon! @DrNikyFarid @tbeaumont @JHGLab @TylerSbrt @DrJDSchulte @VGoodwillMD @UCSDNeuroSurg @UCSDRadMed @UCSDHealth
#DeepLearning Segmentation of Infiltrative and Enhancing Cellular Tumor on Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma @ESNRad #ESNR #NeuroRad
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RT @Radiology_AI: @RadRudie @mariacdev highlight automatic segmentation of #medulloblastoma on routine #MRI scans @…
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@TylerSbrt @EricTopol @MariamAboian @radiolobt @arteraAI @airamatrix @DrSpratticus @mleapman Diversity of testing set is critical for evaluating generalizability, ideally with an out of distribution subset included. Test set size doesn't matter as much so long as you have enough data/power to answer your question i.e. a 85/5/10 split may be better than 70/10/20 split
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RT @siddograMD: GPT-4V: not great at images, as demonstrated by performance on the Diagnostic Radiology In-Training Exam (DXIT)! https://t…
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RT @Radiology_AI: Welcoming our newest cohort: the 18 extraordinary individuals of the 2024-2026 @Radiology_AI Trainee Editorial Board!…
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RT @suzie_bash: Exciting news! #Cortechs.ai just received #FDA 510(k) clearance for its #NeuroQuant® 5.0 software on August 22, 2024. T…
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RT @Radiology_AI: Dataset of multimodal 3D #MRI of diffuse #gliomas at two consecutive posttreatment timepoints @Ra…
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RT @zakkohane: Central challenge for AI in medicine:“A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical…
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RT @MariamAboian: BraTS-METS Challenge is Open!!! Pre and Post Treatment MRI @BraTS_challenge @MICCAI_Society @MiccaiStudents @TheASNR @The…
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RT @bkkfields: Thrilled to have been part of this massive undertaking to publish and release the fully annotated @UCSFimaging Post-Treatmen…
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RT @JakobWasserthal: We added support for MR images to TotalSegmentator. It now segments 59 structures in MR images, regardless of sequenc…
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RT @lofiMRI: Every year the bar for open-access imaging data gets raised! 🏋️ The 2012 @BraTS_challenge dataset had 30 patients. In 2024, t…
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RT @ecalabr: Very happy to announce the 2024 @BraTS_challenge Meningioma Radiotherapy Challenge! We just released 500 MRIs of patients who…
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