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Krzysztof J. Geras

New York University · US
🔎 Find collaborators in Artificial Intelligence · Radiology, Nuclear Medicine and Imaging →
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Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Artificial intelligence, Computer science, Medicine, Mammography, Convolutional neural network, and Deep learning.
h-index
citations
3,146
works
17
NIH funding
primary concept
email

Recent publications

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Nature Medicine 2023cited by 107position: middledoi
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
2023cited by 29position: middledoi
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis
JAMA Network Open 2023cited by 28position: middledoi
Improving breast cancer diagnostics with deep learning for MRI
Science Translational Medicine 2022cited by 123position: lastdoi
Differences between human and machine perception in medical diagnosis
Scientific Reports 2022cited by 31position: lastdoi
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Nature Communications 2021cited by 248position: lastdoi
A convolutional neural network for common coordinate registration of high-resolution histology images
Bioinformatics 2021cited by 19position: middledoi
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
JAMA Network Open 2020cited by 409position: middledoi
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
Radiology Artificial Intelligence 2020cited by 392position: middledoi
Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative
Radiology 2020cited by 231position: middledoi
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Medical Image Analysis 2020cited by 199position: lastdoi
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
IEEE Transactions on Medical Imaging 2019cited by 665position: lastdoi
Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives
Radiology 2019cited by 291position: firstdoi
Machine learning in breast MRI
Journal of Magnetic Resonance Imaging 2019cited by 147position: middledoi
New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence
American Journal of Roentgenology 2019cited by 119position: middledoi
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Lecture notes in computer science 2019cited by 32position: lastdoi
Breast Density Classification with Deep Convolutional Neural Networks
2018cited by 76position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Linda Moy · New York University8 papers (2018–2022)Kyunghyun Cho · New York University5 papers (2018–2022)Yiqiu Shen · NYU Langone Health5 papers (2018–2023)Laura Heacock · NYU Langone Health4 papers (2019–2022)Beatriu Reig · New York University3 papers (2019–2022)Nan Wu · New York University3 papers (2018–2020)Jungkyu Park · New York University2 papers (2019–2020)Jason Phang · New York University2 papers (2019–2020)Kristine Pysarenko · New York University2 papers (2022–2022)Alana A. Lewin · New York University2 papers (2019–2022)Eric Kim · New York University2 papers (2018–2022)Naziya Samreen · New York University2 papers (2022–2022)Daniel K. Sodickson · New York University2 papers (2020–2022)Taro Makino · New York University1 papers (2022–2022) · 1 papers (2020–2020)Stacey Wolfson · New York University1 papers (2018–2018)Alice Kim · University of Ottawa1 papers (2022–2022)Stanisław Jastrzȩbski · New York University1 papers (2022–2022)James Park · Georgia Institute of Technology1 papers (2022–2022)Matthew J. Muckley · New York University1 papers (2020–2020)
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