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Bill Lotter
Bill Lotter
Dana-Farber Cancer Institute & Harvard Medical School
Verified email at ds.dfci.harvard.edu
Title
Cited by
Cited by
Year
Deep predictive coding networks for video prediction and unsupervised learning
W Lotter, G Kreiman, D Cox
International Conference on Learning Representations (ICLR), 2017
10762017
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
3132020
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
W Lotter, AR Diab, B Haslam, JG Kim, G Grisot, E Wu, K Wu, JO Onieva, ...
Nature medicine 27 (2), 244-249, 2021
2732021
Recurrent computations for visual pattern completion
H Tang*, M Schrimpf*, W Lotter*, C Moerman, A Paredes, JO Caro, ...
Proceedings of the National Academy of Sciences 115 (35), 8835-8840, 2018
2102018
A multi-scale CNN and curriculum learning strategy for mammogram classification
W Lotter, G Sorensen, D Cox
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
2102017
Unsupervised learning of visual structure using predictive generative networks
W Lotter, G Kreiman, D Cox
International Conference on Learning Representations (ICLR), 2016
1652016
Conditional infilling GANs for data augmentation in mammogram classification
E Wu, K Wu, D Cox, W Lotter
Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018
1632018
A neural network trained for prediction mimics diverse features of biological neurons and perception
W Lotter, G Kreiman, D Cox
Nature Machine Intelligence 2 (4), 210-219, 2020
118*2020
Image analysis for moving organ, breast, and thoracic images
E Wu, K Wu, D Cox, W Lotter, D Stoyanov, Z Taylor, B Kainz, G Maicas, ...
Springer, 2018
312018
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
E Wu, K Wu, W Lotter
arXiv preprint arXiv:2006.00086, 2020
232020
External validation of an ensemble model for automated mammography interpretation by artificial intelligence
W Hsu, DS Hippe, N Nakhaei, PC Wang, B Zhu, N Siu, ME Ahsen, ...
JAMA network open 5 (11), e2242343-e2242343, 2022
162022
Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection
ML Marinovich, E Wylie, W Lotter, H Lund, A Waddell, C Madeley, ...
EBioMedicine 90, 2023
142023
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection
ML Marinovich, E Wylie, W Lotter, A Pearce, SM Carter, H Lund, ...
BMJ open 12 (1), e054005, 2022
112022
Validation of a deep learning mammography model in a population with low screening rates
K Wu, E Wu, Y Wu, H Tan, G Sorensen, M Wang, B Lotter
NeurIPS 2019. Fair ML for Health Workshop, 2019
92019
Radiologist preferences for artificial intelligence-based decision support during screening mammography interpretation
N Hendrix, KP Lowry, JG Elmore, W Lotter, G Sorensen, W Hsu, GJ Liao, ...
Journal of the American College of Radiology 19 (10), 1098-1110, 2022
82022
Stable 3D head direction signals in the primary visual cortex
G Guitchounts, W Lotter, J Dapello, D Cox
biorxiv, 2020.09. 04.283762, 2020
72020
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
SL McNamara, PH Yi, W Lotter
npj Digital Medicine 7 (1), 1-5, 2024
12024
Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists
JG Kim, B Haslam, AR Diab, A Sakhare, G Grisot, H Lee, J Holt, CI Lee, ...
Radiology: Artificial Intelligence, e230137, 2024
12024
Deep-learning model trained on multiplex immunofluorescence-stained tissue samples predicts the survival of patients with non-small cell lung cancer better than PD-L1 TPS alone
KV Hoebel, JR Lindsay, JV Alessi, JL Weirather, ID Dryg, J Altreuter, ...
Cancer Research 84 (6_Supplement), 6189-6189, 2024
2024
Beyond Structured Attributes: Image-Based Predictive Trends for Chest X-Ray Classification
KV Hoebel, J Fernando, W Lotter
Medical Imaging with Deep Learning, 2024
2024
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