Assoc. Professor @WUSTL developing computational task-specific medical imaging and therapy solutions. #Radiology #ImageScience #Physics #ML
St Louis, MO
Joined November 2013
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Thrilled to share that we have been awarded our first R01! engineering.wustl.edu/news/2…
Thanks to my collaborators, mentors, students @JhaLabWashU, @NIBIBgov, and support from @WashUBME @MIRimaging @WashUengineers @WUSTLmed, and, very importantly, my family!
Thank you for highlighting our work! Excited about this method, which we see as a step toward enabling objective evaluation of quantitative imaging methods in clinical settings where the true patient-specific value is often unavailable.
@IEEE_TMI
How reliable are quantitative medical imaging tools when there’s no “gold standard” to measure against?
Researchers at #WashUMed & @WashUengineers developed a technique to identify which imaging methods perform best, even when the true value is unknown. mir.wustl.edu/washu-research…
Abhinav Jha, Ph.D. retweeted
How reliable are quantitative medical imaging tools when there’s no “gold standard” to measure against?
Researchers at #WashUMed & @WashUengineers developed a technique to identify which imaging methods perform best, even when the true value is unknown. mir.wustl.edu/washu-research…
Our lab has an exciting line up of presentations at the 2026 @SNM_MI Annual Meeting. Details here: jhalab.wustl.edu/cmit-lab-at…
Looking forward to discussions at the meeting!
#QuantitativeImaging #Theranostics #SPECT #NoGoldStandardEvaluation #AI @WashUBME @WashUMedMIR
Abhinav Jha, Ph.D. retweeted
SNMMI “AI in Action” Summit: A summary of key findings, challenges, and next steps. ow.ly/XO5J50XMxpi
#NuclearMedicine #Theranostics @ArmanRahmim @TyBradshaw11 @beingDrGuido @JoyitaDutta @munirghesani @nkarakatsanis @babaksaboury @JhaLabWashU
Looking forward to speaking at #AAPM2025 about the #RELAINCE guidelines, formulated by the @SNM_MI AI Task Force, for evaluating #AI algorithms for nuclear medicine! Link to the guidelines: pubmed.ncbi.nlm.nih.gov/3561…
#PET #SPECT #DeepLearning @WashUMedMIR @WashUBME
Excited to have @woojinrad speak about #GenerativeAI in #MedicalImaging at the SNMMI Annual Meeting today (June 23) at 4:45 pm at the Intersections session!
#AI #DeepLearning #Radiology
Abhinav Jha, Ph.D. retweeted
Computational nuclear oncology toward precision #RPTherapy: Current tools, techniques, & uncharted territories. ow.ly/7rGQ50VuMcT
@ArmanRahmim @babaksaboury @JoyitaDutta @DrGeoffCurrie @JhaLabWashU @CarlosUribeM @JuliaBroschLenz @EmilieRoncali
Abhinav Jha, Ph.D. retweeted
Free Hot Topics workshops for #teachers Grades 6-12 are set for June. #InSTLforSTL Learn more & register today: bit.ly/3H5tyKF
I enjoyed giving this keynote presentation at the #SPIEMedicalImaging conference on designing #AI solutions for medical imaging and am delighted that the talk is now available online open access at spiedigitallibrary.org/confe…
Welcome your feedback!
Abhinav Jha, Ph.D. retweeted
📢New paper out!
Did you know that myocardial SPECT imaging typically requires an additional CT scan for attenuation correction?
⬇️Explore a new method that combines deep learning with physics-based principles to estimate AC—eliminating the need for CT!
ieeexplore.ieee.org/document…
Abhinav Jha, Ph.D. retweeted
We have a Post-Doc opening in Computational Oncology and Theranostics in our Qurit Lab (Qurit.ca) in Vancouver, Canada. For more details and how to apply:
ubc.wd10.myworkdayjobs.com/u…
I appreciated being interviewed by @Dx_imaging on our publication on a #CTLESS attenuation compensation method for myocardial perfusion SPECT. Enjoyed the excellent conversation! Link to video interview here: diagnosticimaging.com/view/d…
#MedicalImaging #AI #cardiacimaging #Cardiology
Honored to be delivering a keynote presentation at #SPIEMedicalImaging conference on the important role of model observers in developing and validating #AI solutions for #Medical #imaging
Link to talk here: spie.org/medical-imaging/pre…
Looking forward to engaging discussions!
Excited to share our article on a method integrating #AI and physics, CTLESS, for transmission-less attenuation correction in cardiac SPECT accepted to @IEEE_TMI
Link to article: ieeexplore.ieee.org/document…
Appreciate the press release: engineering.washu.edu/news/2… @WashUBME @MIRimaging
Abhinav Jha, Ph.D. retweeted
Four MIR faculty members were inducted into @AcadRad’s Council of Distinguished Investigators at the RSNA Annual Meeting in recognition of their outstanding contributions to medical imaging. Kudos to Drs. Eggebrecht, Goyal, Jha and Thorek! #MIRatRSNA #MIRresearch
Thank you! Very honored to receive this recognition and deeply thankful to @AcadRad!
Join us in congratulating four of our 2024 #DistinguishedInvestigators 🏅.
These Investigators will be honored at a ceremony and celebration at #RSNA24 in Chicago. For more program details, visit bit.ly/3UDxfv6.
Thank you! Very honored and deeply thankful to @AcadRad for this recognition! Looking forward to working with distinguished colleagues in this council! @MIRimaging @WashUBME @WashUengineers
We're excited to congratulate our faculty members who were named to @AcadRad's Council of Distinguished Investigators for their outstanding contributions to medical imaging: Drs. Adam Eggebrecht, Manu Goyal, Abhinav Jha and Daniel Thorek! mir.wustl.edu/faculty-named-… #MIRresearch
Wonderful seminar! Unconventional format but went so well! Thank you Dr. Alessio!
Kudos and appreciation to Prof. Adam Alessio for masterful delivery of imaging science seminar after a broken projector (no images!). Held attention and interest for 84 attendees and took Q&A from all directions! So many thanks. @michiganstateu @MSUIQ
