Alert button
Picture for Bennett A. Landman

Bennett A. Landman

Alert button

Common Limitations of Image Processing Metrics: A Picture Story

Apr 13, 2021
Annika Reinke, Matthias Eisenmann, Minu D. Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin Kurc, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus Maier-Hein, Bjoern Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

Figure 1 for Common Limitations of Image Processing Metrics: A Picture Story
Figure 2 for Common Limitations of Image Processing Metrics: A Picture Story
Figure 3 for Common Limitations of Image Processing Metrics: A Picture Story
Figure 4 for Common Limitations of Image Processing Metrics: A Picture Story
Viaarxiv icon

Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

Jan 07, 2021
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth

Figure 1 for Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Figure 2 for Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Figure 3 for Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Figure 4 for Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Viaarxiv icon

Multi-Contrast Computed Tomography Healthy Kidney Atlas

Dec 24, 2020
Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman

Figure 1 for Multi-Contrast Computed Tomography Healthy Kidney Atlas
Figure 2 for Multi-Contrast Computed Tomography Healthy Kidney Atlas
Figure 3 for Multi-Contrast Computed Tomography Healthy Kidney Atlas
Figure 4 for Multi-Contrast Computed Tomography Healthy Kidney Atlas
Viaarxiv icon

RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior

Dec 24, 2020
Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman

Figure 1 for RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Figure 2 for RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Figure 3 for RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior
Viaarxiv icon

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury

Dec 15, 2020
Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex

Figure 1 for Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
Figure 2 for Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
Figure 3 for Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
Figure 4 for Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury
Viaarxiv icon

Development and Characterization of a Chest CT Atlas

Dec 05, 2020
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman

Figure 1 for Development and Characterization of a Chest CT Atlas
Figure 2 for Development and Characterization of a Chest CT Atlas
Figure 3 for Development and Characterization of a Chest CT Atlas
Figure 4 for Development and Characterization of a Chest CT Atlas
Viaarxiv icon

Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

Oct 19, 2020
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman

Figure 1 for Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Figure 2 for Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Figure 3 for Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Figure 4 for Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk
Viaarxiv icon

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

Jul 28, 2020
Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo

Figure 1 for Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
Figure 2 for Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
Figure 3 for Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
Figure 4 for Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking
Viaarxiv icon

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Jun 28, 2020
Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam Harrison

Figure 1 for Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Figure 2 for Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Figure 3 for Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Figure 4 for Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning
Viaarxiv icon