Kilian M. Pohl

6.9k citations

169 papers · 3.3k indexed · h-index 32

Neurology top 2%
Radiology, Nuclear Medicine and Imaging top 1%
- Advanced Neuroimaging Techniques and Applications 35
- Advanced MRI Techniques and Applications 18
- Medical Imaging Techniques and Applications 12
Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 36
Computer Vision and Pattern Recognition top 1%
- Medical Image Segmentation Techniques 42
- Image Retrieval and Classification Techniques 12
Health Informatics top 2%
Virology
- HIV Research and Treatment 15
Artificial Intelligence
- Machine Learning in Healthcare 12

Co-authors: Edith V. Sullivan Adolf Pfefferbaum Ehsan Adeli Qingyu Zhao William M. Wells Ron Kikinis W. Eric L. Grimson Natalie M. Zahr
Cited by: Neurology Radiology, Nuclear Medicine and Imaging Cognitive Neuroscience
Journals: Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
Partner nations: United States South Korea France

In The Last Decade

Kilian M. Pohl

159 papers receiving 3.2k citations

Peers

Countries citing papers authored by Kilian M. Pohl

Since Specialization

Citations

This map shows the geographic impact of Kilian M. Pohl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kilian M. Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kilian M. Pohl more than expected).

Fields of papers citing papers by Kilian M. Pohl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kilian M. Pohl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kilian M. Pohl. The network helps show where Kilian M. Pohl may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kilian M. Pohl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kilian M. Pohl Line = papers co-authored together Kilian M. Pohl links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis IEEE Transactions on Medical Imaging ·Soopil Kim,Hee Jung Park,Philip Chikontwe,Myeongkyun Kang,Kyong Hwan Jin,Ehsan Adeli,Kilian M. Pohl,Sang Hyun Park	2025	0
2	Artificial Intelligence in Obsessive-Compulsive Disorder: A Systematic Review Current Treatment Options in Psychiatry ·Jiyeong Kim,Juan S. Lezama-Pacheco,Ashleigh Golden,Elias Aboujaoude,Peter van Roessel,Aayushi Gandhi,Pavithra Mukunda,Tatevik Avanesyan,Haopeng Xue,Ehsan Adeli,Jane Kim,Manish Saggar,Shannon Wiltsey Stirman,Eric Kuhn,Kaustubh Supekar,Kilian M. Pohl,Carolyn I. Rodríguez	2025	1
3	Metadata-conditioned generative models to synthesize anatomically-plausible 3D brain MRIs Medical Image Analysis ·Wei Peng,Tomas M. Bosschieter,Jiahong Ouyang,Robert Paul,Edith V. Sullivan,Adolf Pfefferbaum,Ehsan Adeli,Qingyu Zhao,Kilian M. Pohl	2024	5
4	Evaluating the Quality of Brain MRI Generators Lecture notes in computer science ·Jiaqi Wu,Wei Peng,Binxu Li,Yu Zhang,Kilian M. Pohl	2024	0
5	Multi‐level prediction of substance use: Interaction of white matter integrity, resting‐state connectivity and inhibitory control measured repeatedly in every‐day life Addiction Biology ·Valentine Chirokoff,Kilian M. Pohl,Sylvie Berthoz,Mélina Fatseas,D. Misdrahi,Fuschia Serre,Marc Auriacombe,Adolf Pfefferbaum,Edith V. Sullivan,Sandra Chanraud	2024	4
6	Federated learning with knowledge distillation for multi-organ segmentation with partially labeled datasets Medical Image Analysis ·Soopil Kim,Hee Jung Park,Myeongkyun Kang,Kyong Hwan Jin,Ehsan Adeli,Kilian M. Pohl,Sang Hyun Park	2024	15
7	The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research SHILAP Revista de lepidopterología ·Qingyu Zhao,Kate B. Nooner,Susan F. Tapert,Ehsan Adeli,Kilian M. Pohl,Amy Kuceyeski,Mert R. Sabuncu	2024	2
8	Identifying high school risk factors that forecast heavy drinking onset in understudied young adults Developmental Cognitive Neuroscience ·Qingyu Zhao,Magdalini Paschali,Joseph Dehoney,Fiona C. Baker,Massimiliano de Zambotti,Michael D. De Bellis,David B. Goldston,Kate B. Nooner,Duncan B. Clark,Beatríz Luna,Bonnie J. Nagel,Sandra A. Brown,Susan F. Tapert,Sonja Eberson,Wesley K. Thompson,Adolf Pfefferbaum,Edith V. Sullivan,Kilian M. Pohl	2024	1
9	FedNN: Federated learning on concept drift data using weight and adaptive group normalizations Pattern Recognition ·Myeongkyun Kang,Soopil Kim,Kyong Hwan Jin,Ehsan Adeli,Kilian M. Pohl,Sang Hyun Park	2023	15
10	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation Lecture notes in computer science ·Myeongkyun Kang,Philip Chikontwe,Soopil Kim,Kyong Hwan Jin,Ehsan Adeli,Kilian M. Pohl,Sang Hyun Park	2023	5
11	Machine Learning Approaches to Understand Cognitive Phenotypes in People With HIV The Journal of Infectious Diseases ·Shibani S. Mukerji,Kalen J. Petersen,Kilian M. Pohl,Raha Dastgheyb,Howard S. Fox,Robert M. Bilder,Marie‐Josée Brouillette,Alden L. Gross,Lori A. J. Scott‐Sheldon,Robert Paul,Dana Gabuzda	2023	19
12	Earlier Bedtime and Effective Coping Skills Predict a Return to Low-Risk of Depression in Young Adults during the COVID-19 Pandemic International Journal of Environmental Research and Public Health ·Qingyu Zhao,Ke Wang,Orsolya Kiss,Dilara Yüksel,Massimiliano de Zambotti,Duncan B. Clark,David B. Goldston,Kate B. Nooner,Sandra A. Brown,Susan F. Tapert,Wesley K. Thompson,Bonnie J. Nagel,Adolf Pfefferbaum,Edith V. Sullivan,Kilian M. Pohl,Fiona C. Baker	2022	3
13	Prior test experience confounds longitudinal tracking of adolescent cognitive and motor development BMC Medical Research Methodology ·Edith V. Sullivan,Wesley K. Thompson,Ty Brumback,Devin Prouty,Susan F. Tapert,Sandra A. Brown,Michael D. De Bellis,Kate B. Nooner,Fiona C. Baker,Ian M. Colrain,Duncan B. Clark,Bonnie J. Nagel,Kilian M. Pohl,Adolf Pfefferbaum	2022	0
14	Adolescent Binge Drinking Is Associated With Accelerated Decline of Gray Matter Volume Cerebral Cortex ·M. Alejandra Infante,Sonja Eberson,Y Zhang,Ty Brumback,Sandra A. Brown,Ian M. Colrain,Fiona C. Baker,Duncan B. Clark,Michael D. De Bellis,David B. Goldston,Bonnie J. Nagel,Kate B. Nooner,Qingyu Zhao,Kilian M. Pohl,Edith V. Sullivan,Adolf Pfefferbaum,Susan F. Tapert,Wesley K. Thompson	2021	20
15	Graded Cerebellar Lobular Volume Deficits in Adolescents and Young Adults with Fetal Alcohol Spectrum Disorders (FASD) Cerebral Cortex ·Edith V. Sullivan,Eileen M. Moore,Barton Lane,Kilian M. Pohl,Edward P. Riley,Adolf Pfefferbaum	2020	20
16	Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis arXiv (Cornell University) ·Qingyu Zhao,Nicolas Honnorat,Ehsan Adeli,Kilian M. Pohl	2019	1
17	Effects of prior testing lasting a full year in NCANDA adolescents: Contributions from age, sex, socioeconomic status, ethnicity, site, family history of alcohol or drug abuse, and baseline performance Developmental Cognitive Neuroscience ·Edith V. Sullivan,Ty Brumback,Susan F. Tapert,Devin Prouty,Rosemary Fama,Wesley K. Thompson,Sandra A. Brown,Kevin Cummins,Ian M. Colrain,Fiona C. Baker,Duncan B. Clark,Tammy Chung,Michael D. De Bellis,Stephen R. Hooper,Bonnie J. Nagel,B. Nolan Nichols,Weiwei Chu,Dongjin Kwon,Kilian M. Pohl,Adolf Pfefferbaum	2017	15
18	Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models Lecture notes in computer science ·Mustafa Gökhan Uzunbaş,Chao Chen,Shaoting Zhang,Kilian M. Pohl,Kang Li,Dimitris Metaxas	2013	5
19	Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot Lecture notes in computer science ·Dong Hye Ye,Harold Litt,Christos Davatzikos,Kilian M. Pohl	2011	7
20	Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images Lecture notes in computer science ·Kilian M. Pohl,John W. Fisher,Ron Kikinis,W. Eric L. Grimson,William M. Wells	2005	20

About Kilian M. Pohl

Kilian M. Pohl is a scholar working on Health Informatics, Virology and Radiology, Nuclear Medicine and Imaging, having authored 169 papers that have together received 3.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (42 papers), Functional Brain Connectivity Studies (36 papers), Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (18 papers), HIV Research and Treatment (15 papers), Image Retrieval and Classification Techniques (12 papers), Medical Imaging Techniques and Applications (12 papers) and Machine Learning in Healthcare (12 papers). The work is most often cited by research in Neurology (382 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Cognitive Neuroscience (887 citations). Kilian M. Pohl has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Edith V. Sullivan, Adolf Pfefferbaum, Ehsan Adeli, Qingyu Zhao, William M. Wells, Ron Kikinis, W. Eric L. Grimson, Natalie M. Zahr, John W. Fisher and Dongjin Kwon. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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