Lars J. Grimm

31 papers Journal 11Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.
Medical Image Anal.
Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
2025 — conf
BreastSegNet: Multi-label Segmentation of Breast MRI.
Deep-Breath@MICCAI
Qihang Li, Jichen Yang, Yaqian Chen, Yuwen Chen, Hanxue Gu, Lars J. Grimm, Maciej A. Mazurowski
2025 J jnl
BreastSegNet: Multi-label Segmentation of Breast MRI.
CoRR
Qihang Li, Jichen Yang, Yaqian Chen, Yuwen Chen, Hanxue Gu, Lars J. Grimm, Maciej A. Mazurowski
2025 J jnl
Cross-site Validation of AI Segmentation and Harmonization in Breast MRI.
J. Imaging Inform. Medicine
Yu Huang, Nicholas J. Leotta, Lukas Hirsch, Roberto Lo Gullo, Mary Hughes, Jeffrey Reiner, Nicole B. Saphier, Kelly S. Myers, Babita Panigrahi, Emily Ambinder, Philip Di Carlo, Lars J. Grimm, Dorothy Lowell, Sora Yoon, Sujata V. Ghate, Lucas C. Parra, Elizabeth J. Sutton
2025 — conf
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms.
MICCAI (4)
Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2025 J jnl
MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms.
CoRR
Xuan Liu, Yinhao Ren, Marc D. Ryser, Lars J. Grimm, Joseph Y. Lo
2023 — conf
A user interface to communicate interpretable AI decisions to radiologists (Erratum).
Image Perception, Observer Performance, and Technology Assessment
Yanchen Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023 — conf
A user interface to communicate interpretable AI decisions to radiologists.
Image Perception, Observer Performance, and Technology Assessment
Yanchen Jessie Ou, Alina Jade Barnett, Anika Mitra, Fides Regina Schwartz, Chaofan Chen, Lars J. Grimm, Joseph Y. Lo, Cynthia Rudin
2023 J jnl
Ipsilateral Lesion Detection Refinement for Tomosynthesis.
IEEE Trans. Medical Imaging
Yinhao Ren, Xuan Liu, Jun Ge, Zisheng Liang, Xiaoming Xu, Lars J. Grimm, Jonathan Go, Jeffrey R. Marks, Joseph Y. Lo
2023 — conf
Multi-view DBT grid-attention detection framework.
Computer-Aided Diagnosis
Xuan Liu, Yinhao Ren, Zisheng Liang, Lars J. Grimm, Jun Ge, Joseph Y. Lo
2022 J jnl
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases.
IEEE Trans. Biomed. Eng.
Rui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2021 — conf
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline.
MICCAI (5)
Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo
2020 — conf
A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography.
Computer-Aided Diagnosis
Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 — conf
Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index.
Computer-Aided Diagnosis
Yifan Peng, Rui Hou, Yinhao Ren, Lars J. Grimm, Jeffrey R. Marks, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020 J jnl
Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
IEEE Trans. Biomed. Eng.
Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019 J jnl
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
Comput. Biol. Medicine
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2019 — conf
Malignant microcalcification clusters detection using unsupervised deep autoencoders.
Computer-Aided Diagnosis
Rui Hou, Yinhao Ren, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019 — conf
Mask Embedding for Realistic High-Resolution Medical Image Synthesis.
MICCAI (6)
Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 — conf
Multiview mammographic mass detection based on a single shot detection system.
Computer-Aided Diagnosis
Yinhao Ren, Rui Hou, Dehan Kong, Yue Geng, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2019 — conf
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network.
Computer-Aided Diagnosis
Dehan Kong, Yinhao Ren, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
2018 — conf
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation.
Computer-Aided Diagnosis
Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Ruth Walsh, Sujata V. Ghate, Maciej A. Mazurowski
2018 — conf
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis.
Computer-Aided Diagnosis
Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski
2018 — conf
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data.
Computer-Aided Diagnosis
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2018 — conf
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features.
Computer-Aided Diagnosis
Rui Hou, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2018 — conf
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning.
Computer-Aided Diagnosis
Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017 — conf
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?
Computer-Aided Diagnosis
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017 J jnl
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.
CoRR
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2017 — conf
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features.
Computer-Aided Diagnosis
Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2016 J jnl
A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases.
Expert Syst. Appl.
Mengyu Wang, Meng Wang, Lars J. Grimm, Maciej A. Mazurowski
2016 — conf
Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features.
Image Perception, Observer Performance, and Technology Assessment
Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2016 J jnl
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach.
Expert Syst. Appl.
Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski