QTIM Lab
@qtimlab
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The Quantitative Translational Imaging in Medicine Lab at the Martinos Center in the Massachusetts General Hospital
Boston, MA
Joined April 2017
🥳Congratulations to Dinggang Shen, recipient of the 2025 Enduring Impact Award! 👏 And to Carl-Fredrik Westin, Marius George Linguraru and Jayashree Kalpathy-Cramer who became Fellows of the #MICCAI Society. 👏 🔗 https://t.co/DyXn7YB1G5
@MiccaiStudents @WomenInMICCAI @RMiccai
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tour de force by Aylin Ergun at @MGHMartinos Science on Tap over her Chimera challenge submission in multimodal ML for prostate cancer
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Penn Radiology researcher @Satvikt_ai is a 2025 #RSNAFast5 Finalist! Click the link below to vote daily to support Satvik's talk - https://t.co/3KCUN4WyAf
@qtimlab @RSNA
l’m a #RSNAFast5 Finalist this year Vote daily to support my talk: “If AI looked in the mirror, what would it see?” 🤖🪞 https://t.co/tp7EB23VZX
@PennRadiology @qtimlab @RSNA
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Dr. Rebecca Henderson presenting our work in deep learning to facilitate precision medicine for Haitian breast cancer patients. a wonderful collaboration with @ASCP and @PIH ! #ASCO25 @UABOBGYN @MGHCancerCenter @PATHtweets
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the incomparable Chris Bridge at the HMS-MCML summit presenting the group's work in deep learning applications to enhance precision oncology. also feat @DagobertoPulido @MGHMartinos
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Big QTIM energy at #AANS2025! 🔥 Huge shoutout to @melisaguelen dropping a masterclass on AI for precision medicine in brain mets @MGBneurosurgery @MGHNeuroSci
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an inspiring masters thesis presentation by superstar Manon Dorster 👏 also ft. a innovative method of explaining AUROC
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a tour de force presentation by @DagobertoPulido for ML-enabled precision medicine for Haitian breast cancer patients #USCAP25 bravo!
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big ups to a rising (already risen?) star in @melisaguelen
Amazing talk by @melisaguelen at the @MGHMartinos Science on Tap! Step towards foundation models in ICI prediction for brain mets tumors! @qtimlab
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Melisa & Manon, we will miss you! @Satvikt_ai not so much...
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Analysis of commercial and open source LLMs for labeling chest radiograph reports showed superior performance of ChatGPT-4 vs open source models in zero-shot labeling and comparable performance for few-shot prompting. @FelixDorfner @k_bressem @qtimlab
https://t.co/VncMAx6CCM
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amazing talk!! @DagobertoPulido
@DagobertoPulido talking about the impact of data augmentation for AI approaches in whole slide images at #Cmimi24
@qtimlab @MGHMartinos @SIIM_Tweets
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big ups to Albert for an inspiring First Look talk at #WMIF2024. pls check it out! https://t.co/q9lTZE7sqk…
@MGHCancerCenter
@DamonRunyon
@MGHMartinos
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Exciting developments in availability of public digital pathology data at the Imaging Data Commons! 25,000 more images just made available through the platform, compliments of the @theNCI IDC team and our very own Chris Bridge.
discourse.canceridc.dev
IDC data release v19 is out! 🎇 Over the past months, we put significant effort into curating and harmonizing several new digital pathology collections. But the wait is over, and over 25,000 of new...
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Thank you to my mentors and advisors at @qtimlab and @BITSPilaniGoa for their invaluable guidance and unwavering support. A special thanks to the seniors and alumni of BITS Goa (@SforAiDL) for fostering an environment that sparked my research journey.
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Excited to explore opportunities for QML in healthcare https://t.co/9Ot0PUDCVy
@CUInnovations @CUEyeCenter @qtimlab
news.cuanschutz.edu
Boulder's Atom Computing partners with CU Anschutz researchers to explore applications in healthcare for quantum technology.
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big ups to Albert for a tour de force presentation at the MGH breast rads/onc symposium
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