Table Of ContentSiva Teja Kakileti · Maria Gabrani ·
Geetha Manjunath · Michal Rosen-Zvi ·
Nathaniel Braman · Robert G. Schwartz ·
Alejandro F. Frangi · Pau-Choo Chung ·
Christopher Weight · Vekataraman Jagadish (Eds.)
Artificial Intelligence over Infrared
2
0
Images for Medical Applications
6
3
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and Medical Image Assisted
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C
N Biomarker Discovery
L
First MICCAI Workshop, AIIIMA 2022
and First MICCAI Workshop, MIABID 2022
Held in Conjunction with MICCAI 2022
Singapore, September 18 and 22, 2022, Proceedings
Lecture Notes in Computer Science 13602
FoundingEditors
GerhardGoos
KarlsruheInstituteofTechnology,Karlsruhe,Germany
JurisHartmanis
CornellUniversity,Ithaca,NY,USA
EditorialBoardMembers
ElisaBertino
PurdueUniversity,WestLafayette,IN,USA
WenGao
PekingUniversity,Beijing,China
BernhardSteffen
TUDortmundUniversity,Dortmund,Germany
MotiYung
ColumbiaUniversity,NewYork,NY,USA
Moreinformationaboutthisseriesathttps://link.springer.com/bookseries/558
· ·
Siva Teja Kakileti Maria Gabrani
· ·
Geetha Manjunath Michal Rosen-Zvi
· ·
Nathaniel Braman Robert G. Schwartz
· ·
Alejandro F. Frangi Pau-Choo Chung
·
Christopher Weight Vekataraman Jagadish (Eds.)
Artificial Intelligence over Infrared
Images for Medical Applications
and Medical Image Assisted
Biomarker Discovery
First MICCAI Workshop, AIIIMA 2022
and First MICCAI Workshop, MIABID 2022
Held in Conjunction with MICCAI 2022
Singapore, September 18 and 22, 2022
Proceedings
Editors
SivaTejaKakileti MariaGabrani
NiramaiHealthAnalytixPvt.Ltd. IBMResearch-Zurich
Bengaluru,India Rüschlikon,Switzerland
GeethaManjunath MichalRosen-Zvi
NiramaiHealthAnalytixPvt.Ltd. UniversityofHaifa
Bengaluru,India Haifa,Israel
NathanielBraman RobertG.Schwartz
PictureHealth PiedmontPhysicalMedicine
Cleveland,OH,USA andRehabilitation
Greenville,SC,USA
AlejandroF.Frangi
UniversityofLeeds Pau-ChooChung
Leeds,UK NationalChengKungUniversity
Tainan,Taiwan
ChristopherWeight
ClevelandClinic VekataramanJagadish
Cleveland,OH,USA TempusLabs
MenloPark,CA,USA
ISSN 0302-9743 ISSN 1611-3349 (electronic)
LectureNotesinComputerScience
ISBN 978-3-031-19659-1 ISBN 978-3-031-19660-7 (eBook)
https://doi.org/10.1007/978-3-031-19660-7
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Preface AIIIMA 2022
Therehavebeenmanyadvancesininfraredimaginghardwarealongwithitsincreased
usage in medical applications in recent years. Infrared imaging is a non-contact, non-
invasive radiation-free modality with low-cost, portable equipment that offers several
advantagesoverotherimagingmodalities.Furthermore,sinceinfraredthermalimaging
hassomeuniqueimagingcharacteristicswithinbuiltanonymityandfeasibilitytoanalyze
inboththethermalandtheimagingfeaturespaces,ithassparkedconsiderableinterest
inseveralresearchcommunities.Wearealsostartingtoseeinnovativestartupscreating
breakthrough solutions leveraging this emerging trend of advanced medical infrared
thermologyandtheuseofnovelmachinelearningalgorithmsoverthecapturedthermal
images.
ThefirstworkshoponArtificialIntelligenceoverInfraredImagesforMedicalAppli-
cations (AIIIMA 2022) aimed to create a forum to discuss this specific sub-topic at
MICCAIandpromotethisnovelareaofresearch,thathasthepotentialtohugelyimpact
oursociety,amongtheresearchcommunity.Authorswereinvitedtosubmitmanuscripts
onawiderangeoftopicsincluding,butnotlimitedto,theapplicationsofartificialintel-
ligenceformedicalinfraredimagingforcancerscreening,cancerdiagnosis,cancerrisk
assessment,treatmentmonitoringofcancers,COVID-19screening,painmanagement,
etc. To encourage more researchers to join this exciting field of medical imaging, the
AIIIMAwebsitelistedsomeprominentthermalimagingdatasetsformedicalimaging
fornewresearcherstoembarktheirjourneyinthisfield.
Intotal,15papersweresubmittedforconsiderationtoAIIIMAandafterpeerreview,
10paperswereacceptedforpublication.Eachpaperwasrigorouslyreviewedbyatleast
twoexternalreviewersandtwoprogramchairsusingasingleblindreviewprocess.Exter-
nalreviewerswereinvitedbasedontheirexpertiseinmedicalimaging,andspecifically
inmedicalinfraredimaging.Allpapersweremanuallyassignedtoavoidanypossibil-
ityofconflictofinterest.TheConferenceManagementToolkitwasusedformanaging
thesubmissionandreviewprocess.Thoroughcommentsandsuggestionsweregivento
authorstoimprovethequalityofmanuscripts.
Theworkshopprogramconsistedoforalpresentationsofallthe10acceptedpapers.
To motivate researchers to work in this area, two keynotes were arranged – one from
a clinical expert and another from an AI expert, both with experience of working in
this field for 20+ years. The thermal imaging clinical expert is the chair of American
Academy of Thermology (AAT) and the AI expert is a researcher who has 15,000+
citations.
Wewouldliketothanktheauthorsforsubmittingthemanuscriptstoourfirstedition
andactivelyworkingwithreviewersinimprovingtheirmanuscript.Wethankthereview-
ersfortakingtheirtimeandprovidingdetailedfeedbackandsuggestionstotheauthors
withinthestipulatedtime.SpecialthankstoMICCAIforselectingourworkshoptobe
oneofMICCAIsatelliteeventsin2022.Finally,wethankoursponsor,NiramaiHealth
vi PrefaceAIIIMA2022
AnalytixPvtLtd.forpublicizingtheAIIIMAworkshopandsponsoringtheregistration
forkeynotespeakers.
September2022 SivaTejaKakileti
GeethaManjunath
RobertG.Schwartz
AlejandroFFrangi
Preface MIABID 2022
Biomarkers play a central role in the growing practice of personalized medicine.
Biomarkers are defined as physiologic measures that indicate the presence and char-
acteristicsofdisease.Clinically,thesemeasuresdefinedecisionpointsinpatientcareby
identifyingrisk,revealinggenotypicinsights,predictingtreatmentresponse,andbeyond.
Theroleofmedicalimagingintheprecisionmedicinelandscapeisrapidlyexpanding,
drivenbyrecentinnovationinmachinelearninganditsapplicationtostandard-of-care
images.So-calledAIimagingbiomarkershavethepotentialtostreamlineandexpand
thearsenalofdiagnostictoolsutilizedtooptimizetreatmentforeachindividualpatient.
In particular, machine learning is creating new opportunities for medical imaging to
enableprecisionmedicine,includingacceleratingthequantificationoflaboratory-based
biomarkers,predictingnon-imagingbiomarkers(e.g.targetablemutations)fromimag-
ingdata,discoveringnovelimage-basedbiomarkersfortherapieslackingvalidatedcom-
panion diagnostics, and integrating imaging and non-imaging data to yield powerful
multimodaloutcomepredictions.
However, this new frontier introduces new challenges and elevated stakes for the
nascentdisciplineofAIinmedicine.Forinstance,developingAIimagingbiomarkers
oftenmeansovercomingextremedatalimitationsthatareinherenttothenarrowclinical
subpopulationsthatprecisionmedicineseekstostratify.Evenwhensuchdataareavail-
able,machinelearningscientistsoftenfaceextremeheterogeneityinboththeimaging
dataitselfandthecorrespondingclinicalvariablesutilizedfortraininglabels.General-
izabilityandinterpretabledecision-making–alreadycommonconcernsinmedicalAI
applications–takeonamplifiedsignificancegiventhepropositionofautomatedtools
thatdirectlyinfluencethecourseoftherapeuticdecision-making.Thesechallengesare
compoundedinresearchintegratingimagingandnon-imagingbiomarkers,whereexten-
sivevariationandsparsitybetweenmodalitiescanfurtherimpedeeffectivemultimodal
learning.
New to MICCAI in 2022, the inaugural Medical Image Analysis for Biomarker
Discovery(MIABID)workshopaimedtoprovideaforumforthemultidisciplinarycol-
laborationandinnovationrequiredtoovercometheseobstacles.Theworkshopbrought
togetherclinical,AI,regulatory,andpharmaceuticalexpertstoreviewscientificprogress
andchallengesinthedevelopmentofAI-poweredbiomarkersleveragingmedicalimag-
ing.Weaimedtosharetechnologies,experiences,andobservationsacrosstheMICCAI
community in order to understand the potential of AI tools in quantifying images for
actionablemedicalinsights.Wefurtherhopedtoelucidatethebarrierstotheirclinical
applicationandfuelcollaborationtoovercomethem.
In total, 10 papers were submitted to MIABID 2022. After a rigorous double
blind peer review process, with each paper reviewed by at least two external review-
ers and two program chairs, seven papers were accepted for oral presentation. These
manuscripts demonstrate the promise of AI for biomarker discovery across seven dif-
ferent disease domains and five different forms of medical imaging, spanning digital
pathology, dermoscopy, and radiology. Additionally, a panel discussion on “Medical
viii PrefaceMIABID2022
Image Assisted BIomarker Discovery: trends, challenges and what next?” chaired by
Christopher Weight, Center Director for Urologic Oncology at the Cleveland Clinic,
wasarranged.
We would like to thank the authors for submitting their manuscripts to MIABID
2022.Wealsoappreciatethereviewersforprovidingdetailedfeedbackandsuggestions
to maintain the quality of the workshop. Finally, we thank MICCAI for providing us
with the platform and opportunity to bring this critical discussion to the international
medicalimagecomputingcommunity.
September2022 MariaGabrani
MichalRosen-Zvi
NathanielBraman
Pau-Choo(Julia)Chung
ChristopherWeight
JagadishVenkataraman
Organization
AIIIMA2022
OrganizationCommittee/ProgramChairs
SivaTejaKakileti NiramaiHealthAnalytixPvtLtd.,India
GeethaManjunath NiramaiHealthAnalytixPvtLtd.,India
RobertG.Schwartz AmericanAcademyofThermology,USA
AlejandroF.Frangi UniversityofLeeds,UK
ExternalReviewers
FranciscoGonzalez Truventic,USA
ManasaKolla Games24x7,India
MinervaPanda CornellUniversity,USA
PratikKatte NiramaiHealthAnalytix,India
RonakDedhiya NiramaiHealthAnalytix,India
ShaileshBG Burgwalden,India
MIABID2022
OrganizationCommittee/ProgramChairs
MariaGabrani IBMResearch-Zurich,Switzerland
MichalRosen-Zvi IBMResearchandTheHebrewUniversity,Israel
NathanielBraman PictureHealth,USA
Pau-Choo(Julia)Chung NationalChengKungUniversity,Taiwan
ChristopherWeight ClevelandClinic,USA
JagadishVekataraman TempusLabs,USA
ExternalReviewers
AntonioFoncubiertaRodriguez IBMResearch,Switzerland
MichalOzery-Flato IBMResearch,Israel
AlvaroUlloaCerna Geisinger,USA
GeoffreySchau TempusLabs,USA
DezsoRibli ELTEInstituteofPhysics,Hungary
PabloMeyerRojas IBMResearch,USA
