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IPMI 2021 special issue
https://doi.org/10.59275/j.melba.2022-7ccd
Information Processing in Medical Imaging (IPMI) is one of the longest-running conference series in medical imaging, founded in 1969. The conference has a number of traditions, ranging from unrestricted discussion time, via reading groups and a conference choir, to a soccer game. Due to the COVID-19 pandemic, the 2021 conference was held virtually, still holding on to as many traditions as possible. The conference had 150 attendees, and featured both the traditional reading groups and a far less traditional virtual conference venue to recreate the community feeling known from physical IPMI conferences as much as possible (including the soccer game!).
IPMI 2021 received 200 valid submissions, of which 59 were accepted for publication at the conference. From these, 29 papers were invited to submit an extended journal version to the first special edition of the MELBA journal associated with an IPMI conference.
Out of the invited papers, we received 11 submissions, which all underwent a new peer-review process. All 11 papers were accepted for the final special issue. These papers cover the topics discussed at the conference well, ranging from uncertainty estimation, via learning hyperparameter tuning, to designing and utilizing geometric priors. We are excited and thankful to present these papers in openly available form to the community through MELBA, including the recorded conference talks, which can be found from the conference website.
- Aasa Feragen, Technical University of Denmark;
- Mads Nielsen, University of Copenhagen;
- Stefan Sommer, University of Copenhagen;
- Julia Schnabel, Helmholtz Munich,Technical University of Munich, and King's College London.
11 papers

Distributional Gaussian Processes Layers for Out-of-Distribution Detection
2022/06/29IPMI 2021 special issue
Sebastian G. PopescuImperial College London, David J. SharpImperial College London, James H. ColeUniversity College London, Konstantinos KamnitsasImperial College London, Ben GlockerImperial College London

IPMI 2021 special issue
Kristen M. CampbellUniversity of Utah, Salt Lake City, Haocheng DaiUniversity of Utah, Salt Lake City, Zhe Su University of California Los Angeles, Martin BauerFlorida State University, Tallahassee, P. Thomas FletcherUniversity of Virginia, Charlottesville, Sarang C. JoshiUniversity of Utah, Salt Lake City

Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
2022/04/27IPMI 2021 special issue
Haleh AkramiUniversity of Southern California, Anand JoshiUniversity of Southern California, Sergul AydoreAmazon Web Services, Richard LeahyUniversity of Southern California

How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds
2022/04/14IPMI 2021 special issue
Pierre-Louis AntonsantiUniversite de Paris
GE Healthcare, Thomas BenseghirGE Healthcare, Vincent JugnonGE Healthcare, Mario GhosnMemorial Sloan Kettering Cancer Center, Perrine ChassatLaboratoire de Mathématiques et Modélisation d’Évry, Joan GlaunèsUniversite de Paris, Irène KaltenmarkUniversite de Paris

Learning the Effect of Registration Hyperparameters with HyperMorph
2022/04/07IPMI 2021 special issue
Andrew HoopesMassachusetts General Hospital, Malte HoffmannMassachusetts General Hospital
Harvard Medical School, Douglas N. GreveMassachusetts General Hospital
Harvard Medical School, Bruce FischlMassachusetts General Hospital
Harvard Medical School
Massachusetts Institute of Technology, John GuttagMassachusetts Institute of Technology, Adrian V. DalcaMassachusetts General Hospital
Harvard Medical School
Massachusetts Institute of Technology

IPMI 2021 special issue
Shaheer U. SaeedUniversity College London, Wen YanUniversity College London, Yunguan FuUniversity College LondonShaheer U. SaeedUniversity College London et al.
InstaDeep, Francesco GigantiUniversity College London, Qianye YangUniversity College London, Zachary M. C. BaumUniversity College London, Mirabela RusuStanford University, Richard E. FanStanford University, Geoffrey A. SonnStanford University, Mark EmbertonUniversity College London, Dean C. BarrattUniversity College London, Yipeng HuUniversity College London




