Lars J. Grimm - RankMe

31 papers Journal 11Unranked 20

Year	Rank	Type	Title / 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