| Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data Y Shen, J Park, F Yeung, E Goldberg, L Heacock, F Shamout, KJ Geras arXiv preprint arXiv:2311.03217, 2023 | | 2023 |
| Problem-solving Breast MRI B Reig, E Kim, CM Chhor, L Moy, AA Lewin, L Heacock RadioGraphics 43 (10), e230026, 2023 | | 2023 |
| PACS-integrated machine learning breast density classifier: clinical validation J Lewin, S Schoenherr, M Seebass, MD Lin, L Philpotts, M Etesami, ... Clinical Imaging 101, 200-205, 2023 | 1 | 2023 |
| An efficient deep neural network to classify large 3D images with small objects J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... IEEE Transactions on Medical Imaging, 2023 | | 2023 |
| Improving Information Extraction from Pathology Reports using Named Entity Recognition KG Zeng, T Dutt, J Witowski, GVK Kiran, F Yeung, M Kim, J Kim, ... Research Square, 2023 | 1 | 2023 |
| Benchmd: A benchmark for modality-agnostic learning on medical images and sensors K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ... arXiv preprint arXiv:2304.08486, 2023 | 7 | 2023 |
| Women 75 years old or older: to screen or not to screen? CS Lee, A Lewin, B Reig, L Heacock, Y Gao, S Heller, L Moy Radiographics 43 (5), e220166, 2023 | 8 | 2023 |
| ChatGPT and other large language models are double-edged swords Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih, L Moy Radiology 307 (2), e230163, 2023 | 535 | 2023 |
| New horizons: artificial intelligence for digital breast tomosynthesis JE Goldberg, B Reig, AA Lewin, Y Gao, L Heacock, SL Heller, L Moy RadioGraphics 43 (1), e220060, 2022 | 4 | 2022 |
| An efficient deep neural network to find small objects in large 3D images J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... arXiv preprint arXiv:2210.08645, 2022 | | 2022 |
| Improving breast cancer diagnostics with deep learning for MRI J Witowski, L Heacock, B Reig, SK Kang, A Lewin, K Pysarenko, S Patel, ... Science translational medicine 14 (664), eabo4802, 2022 | 37 | 2022 |
| Biomarkers, Prognosis, and Prediction Factors B Reig, L Moy, EE Sigmund, L Heacock DIFFUSION MRI OF THE BREAST, 49, 2022 | 1 | 2022 |
| Estimation of the capillary level input function for dynamic contrast‐enhanced MRI of the breast using a deep learning approach J Bae, Z Huang, F Knoll, K Geras, T Pandit Sood, L Feng, L Heacock, ... Magnetic resonance in medicine 87 (5), 2536-2550, 2022 | 3 | 2022 |
| Differences between human and machine perception in medical diagnosis T Makino, S Jastrzębski, W Oleszkiewicz, C Chacko, R Ehrenpreis, ... Scientific reports 12 (1), 6877, 2022 | 19 | 2022 |
| Advances in abbreviated breast MRI and ultrafast imaging S Patel, L Heacock, Y Gao, K Elias, L Moy, S Heller Seminars in Roentgenology 57 (2), 145-148, 2022 | 4 | 2022 |
| 3d-gmic: an efficient deep neural network to find small objects in large 3d images J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... arXiv preprint arXiv: 2210.08645, 2022 | 1 | 2022 |
| Reducing false-positive biopsies using deep neural networks that utilize both local and global image context of screening mammograms N Wu, Z Huang, Y Shen, J Park, J Phang, T Makino, S Gene Kim, K Cho, ... Journal of Digital Imaging 34, 1414-1423, 2021 | 8 | 2021 |
| Diffusion weighted imaging for evaluation of breast lesions: Comparison between high b-value single-shot and routine readout-segmented sequences at 3 T WBG Sanderink, J Teuwen, L Appelman, L Moy, L Heacock, E Weiland, ... Magnetic resonance imaging 84, 35-40, 2021 | 5 | 2021 |
| Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ... Nature communications 12 (1), 5645, 2021 | 149 | 2021 |
| Lessons from the first DBTex Challenge J Park, Y Shoshan, R Martí, P Gómez del Campo, V Ratner, D Khapun, ... Nature Machine Intelligence 3 (8), 735-736, 2021 | 10 | 2021 |
Linda MoyNew York University School of Medicine在 nyulangone.org 的电子邮件经过验证
