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QTIM Lab (@qtimlab) profile picture

QTIM Lab

@qtimlab

The Quantitative Translational Imaging in Medicine Lab at the Martinos Center in the Massachusetts General Hospital

 Boston, MA
qtim-lab.github.io/
Joined April 2017
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  • Followers725
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Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)Photo by QTIM Lab (@qtimlab)
🥳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. 👏 🔗tinyurl.com/52pt58jy @MiccaiStudents @WomenInMICCAI @RMiccai
Image from MICCAI Society (@MICCAI_Society)
Image from MICCAI Society (@MICCAI_Society)
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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 - rsna.az1.qualtrics.com/jfe/f… @qtimlab @RSNA
Satvik Tripathi (@Satvikt_ai) profile pictureSatvik Tripathi@Satvikt_ai7 Jul 2025
l’m a #RSNAFast5 Finalist this year Vote daily to support my talk: “If AI looked in the mirror, what would it see?” 🤖🪞 rsna.az1.qualtrics.com/jfe/f… @PennRadiology @qtimlab @RSNA
Image from Satvik Tripathi (@Satvikt_ai)
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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 bit.ly/40jr0jV
Image from Radiology (@radiology_rsna)
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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 news.cuanschutz.edu/news-sto… @CUInnovations @CUEyeCenter @qtimlab
Partnership Forms to Explore Quantum Computing for Healthcare

Partnership Forms to Explore Quantum Computing for Healthcare

Boulder's Atom Computing partners with CU Anschutz researchers to explore applications in healthcare for quantum technology.

news.cuanschutz.edu
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And myself presenting EyeLiner: a pipeline for longitudinal fundus image registration using key point detection @CUEyeCenter @qtimlab
Image from Advaith Veturi (@AdvaithVeturi)
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great work from the team! Please stop by @CUEyeCenter @praveersingh90 @AdvaithVeturi
Advaith Veturi (@AdvaithVeturi) profile pictureAdvaith Veturi@AdvaithVeturi6 May 2024
Extremely excited and proud to share that our QTIM lab at @CUAnschutz will be presenting 7 posters and one talk at the #ARVO conference this week! If you are at #ARVO, please do stop by our posters shared in the thread below, and let's connect!
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I was very excited to share some of the radiology AI research I have been doing this year in the @qtimlab at the @AIHealthMIT #AICures2024 conference. I also had such a fun time connecting with and learning from new and old friends! 😊
Image from Kay Wu, MD MS 🌸 (@_kaywu)
Image from Kay Wu, MD MS 🌸 (@_kaywu)
Image from Kay Wu, MD MS 🌸 (@_kaywu)
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Replying to @qtimlab
@qtimlab in action at the #AICures2024. Congratulations to Mason and @_kaywu on the poster presentations!
Image from Satvik Tripathi (@Satvikt_ai)
Image from Satvik Tripathi (@Satvikt_ai)
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Dr. Jayashree Kalpathy-Cramer presents a strong overview on the state of Gen AI in Medicine. Discussing the challenges and required checklist before model deployment in a clinical setting. Great to see AI Med panel at @AAASmeetings. @qtimlab @CUAnschutz @CUEyeCenter #AAASmtg
Image from Satvik Tripathi (@Satvikt_ai)
Image from Satvik Tripathi (@Satvikt_ai)
Image from Satvik Tripathi (@Satvikt_ai)
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So glad to finally meet @kalpathy1 in-person! Thanks to @AAASmeetings for putting this together. @qtimlab
Image from Satvik Tripathi (@Satvikt_ai)
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Our new article “From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer” was published today in @diagnostic_mdpi. @DaniaDaye @qtimlab @Azitabari @ArianMansur @harikadabbara Link: mdpi.com/2075-4418/14/2/174#
From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer

Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis. Late diagnosis is common due to a lack of early symptoms, specific markers, and the challenging location...

mdpi.com
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Congratulations to @kalpathy1, PhD, who also received funding through one of the @CUAnschutz Acceleration Initiative awards! She and her team are developing a multidisciplinary project, bringing AI-assisted ophthalmic imaging outside of ophthalmology to improve clinical outcomes.
CU Anschutz School of Medicine (@CUMedicalSchool) profile pictureCU Anschutz School of Medicine@CUMedicalSchool10 Jan 2024
Replying to @CUMedicalSchool
Congrats to Jayashree Kalpathy-Cramer (@kalpathy1), PhD, professor @CUEyeCenter!
Image from CU Anschutz School of Medicine (@CUMedicalSchool)
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#MIRAI mammography #DeepLearning model in a high-risk, racially diverse population doi.org/10.1148/ryai.230397 @DespinaKontos @kalpathy1 #cancer #mammography #AI
Image from Radiology: Artificial Intelligence (@Radiology_AI)
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Replying to @qtimlab
@qtimlab meet up at #RSNA23
Image from Satvik Tripathi (@Satvikt_ai)
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Replying to @HoebelKathi
@HoebelKathi @ca_chung @kencchang @kalpathy1 review 180 articles on brain tumor segmentation algorithms doi.org/10.1148/ryai.220231 @qtimlab @MGHMartinos #DeepLearning #segmentation #AI
Image from Radiology: Artificial Intelligence (@Radiology_AI)
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Thanks to all the bright minds sharing research at today's 2023 Scientific & Career Development Retreat @ASCO HQ! A special thanks to The John and Elizabeth Leonard Family Foundation and @ANCO_News for their support. brnw.ch/21wEhq1 @hafaydeefe @PavlosMsaouel
Image from Conquer Cancer, the ASCO Foundation (@ConquerCancerFd)
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Jayashree Kalpathy-Cramer, PhD, (@kalpathy1) chief of artificial medical intelligence in ophthalmology at the @CUEyeCenter, has been awarded a grant from the @MichaelJFoxOrg, to research biomarkers in the eyes that might indicate Parkinson’s disease. news.cuanschutz.edu/ophthalm…

The Eyes May Hold the Key to Early Parkinson’s Disease Detection

With the help of a grant from the Michael J. Fox Foundation, CU ophthalmology researcher Jayashree Kalpathy-Cramer, PhD, plans to study data that could unveil biomarkers of the disease before...

news.cuanschutz.edu
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Presented our CASCADE study at @RadiologyACR #ACRQSI1023. Talked about an #AI-driven Tumor Board Recommendation model and how it could impact #oncology in low-resource settings. Thanks to @DaniaDaye and @qtimlab for the mentorship. Stop by the poster session to talk more!
Image from Satvik Tripathi (@Satvikt_ai)
Image from Satvik Tripathi (@Satvikt_ai)
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To amazing past 6 months at this mega innovation hub! Major thanks to @DaniaDaye, @Azitabari, and Chris for the wonderful opportunity. I look forward to presenting my work at upcoming #radiology meetings. Excited to continue working with such amazing labs and researchers!
Image from Satvik Tripathi (@Satvikt_ai)
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