| Evaluating deep neural networks trained on clinical images in dermatology with the fitzpatrick 17k dataset M Groh, C Harris, L Soenksen, F Lau, R Han, A Kim, A Koochek, O Badri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 219 | 2021 |
| Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm M Groh, C Harris, R Daneshjou, O Badri, A Koochek Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-26, 2022 | 53 | 2022 |
| Deep learning-aided decision support for diagnosis of skin disease across skin tones M Groh, O Badri, R Daneshjou, A Koochek, C Harris, LR Soenksen, ... Nature Medicine 30 (2), 573-583, 2024 | 40 | 2024 |
| Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset. 2021 IEEE M Groh, C Harris, L Soenksen, F Lau, R Han, A Kim, A Koochek, O Badri CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 10, 1828 | 7 | 1828 |
| Medship: Affective Computing for Building Empathetic Behaviors Toward Patients with Substance Use Disorders CM Harris Massachusetts Institute of Technology, 2022 | 3 | 2022 |
| Integrating Technology into Undergraduate Medical Education: Can Affective Computing Help Teach Empathy? RP J Avery M Woods, G Appel, C Harris, A Daulbayeva, J Iyasere Academic Psychiatry, 2023 | 2* | 2023 |
Matthew GrohNorthwestern UniversityZweryfikowany adres z northwestern.edu