Bennett A. Landman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
7
Active years
2007–2024
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | MICCAI | Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. | Nancy Newlin, Kurt Schilling, Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj, Daniel Moyer, Claire E. Kelly, Sila Genc, Joseph Yuan-Mou Yang, Ye Wu, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, William Consagra, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristn-Vega, Santiago Aja-Fernndez, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman |
| 2024 | MICCAI | Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. | Tianyuan Yao, Derek B. Archer, Zhiyuan Li, Leon Y. Cai, Praitayini Kanakaraj, Nancy Newlin, Quan Liu, Ruining Deng, Can Cui, Shunxing Bao, Kurt Schilling, Bennett A. Landman, Yuankai Huo |
| 2023 | ICCV | CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. | Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou |
| 2023 | ICLR | 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. | Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman |
| 2023 | MICCAI | Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. | Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo |
| 2023 | MICCAI | Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. | Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman |
| 2023 | MICCAI | Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. | Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko |
| 2023 | MICCAI | A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI. | Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo |
| 2022 | CVPR | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. | Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh |
| 2022 | MICCAI | MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. | Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo |
| 2022 | MICCAI | Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. | Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo |
| 2022 | MICCAI | Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. | Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo |
| 2022 | MICCAI | Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. | Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman |
| 2022 | WACV | UNETR: Transformers for 3D Medical Image Segmentation. | Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu |
| 2021 | AMIA | Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. | Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny |
| 2021 | AMIA | Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial. | Mirza S. Khan, Kaiwen Xu, Stephen A. Deppen, Kim L. Sandler, Bennett A. Landman |
| 2021 | MICCAI | Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. | Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman |
| 2021 | MICCAI | Pancreas CT Segmentation by Predictive Phenotyping. | Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman |
| 2021 | MICCAI | Compound Figure Separation of Biomedical Images with Side Loss. | Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo |
| 2020 | MICCAI | Semi-supervised Machine Learning with MixMatch and Equivalence Classes. | Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman |
| 2020 | MICCAI | Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. | Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham |
| 2020 | MICCAI | Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. | Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman |
| 2020 | MICCAI | CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. | Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo |
| 2019 | MICCAI | Contextual Deep Regression Network for Volume Estimation in Orbital CT. | Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman |
| 2019 | MICCAI | Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. | Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman |
| 2019 | MICCAI | Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. | Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman |
| 2019 | MICCAI | Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. | Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu |
| 2018 | MICCAI | Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis. | Sandra Gonzlez-Vill, Yuankai Huo, Arnau Oliver, Xavier Llad, Bennett A. Landman |
| 2018 | MICCAI | Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. | Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman |
| 2018 | MICCAI | Hierarchical Spherical Deformation for Shape Correspondence. | Ilwoo Lyu, Martin A. Styner, Bennett A. Landman |
| 2018 | MICCAI | How to Exploit Weaknesses in Biomedical Challenge Design and Organization. | Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Mller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein |
| 2018 | MICCAI | Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. | Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou |
| 2017 | IC2E | Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. | Shunxing Bao, Bennett A. Landman, Aniruddha S. Gokhale |
| 2017 | IC2E | Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. | Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale |
| 2017 | MICCAI | EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. | Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman |
| 2017 | MICCAI | Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. | Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman |
| 2017 | MICCAI | Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones. | Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett A. Landman, Smita De |
| 2017 | MICCAI | 4D Multi-atlas Label Fusion Using Longitudinal Images. | Yuankai Huo, Susan M. Resnick, Bennett A. Landman |
| 2017 | MICCAI | Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure. | Prasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo, Kurt Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman |
| 2016 | MICCAI | Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. | Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman |
| 2014 | MICCAI | SIMPLE Is a Good Idea (and Better with Context Learning). | Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman |
| 2013 | MICCAI | Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion. | Andrew J. Asman, Seth A. Smith, Daniel S. Reich, Bennett A. Landman |
| 2013 | MICCAI | Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model. | Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman |
| 2012 | MICCAI | Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model. | Andrew J. Asman, Bennett A. Landman |
| 2012 | MICCAI | Do We Really Need Robust and Alternative Inference Methods for Brain MRI? | Bennett A. Landman, Xue Yang, Hakmook Kang |
| 2012 | MICCAI | Quantitative Evaluation of Statistical Inference in Resting State Functional MRI. | Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman |
| 2011 | MICCAI | Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX. | Carolyn B. Lauzon, Andrew J. Asman, Ciprian M. Crainiceanu, Brian C. Caffo, Bennett A. Landman |
| 2011 | MICCAI | Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging. | Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman |
| 2007 | ICCV | Diffusion Tensor Estimation by Maximizing Rician Likelihood. | Bennett A. Landman, Pierre-Louis Bazin, Jerry L. Prince |