| Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification S Qiu, PS Joshi, MI Miller, C Xue, X Zhou, C Karjadi, GH Chang, AS Joshi, ... Brain 143 (6), 1920-1933, 2020 | 344 | 2020 |
| Multimodal deep learning for Alzheimer’s disease dementia assessment S Qiu, MI Miller, PS Joshi, JC Lee, C Xue, Y Ni, Y Wang, I De Anda-Duran, ... Nature communications 13 (1), 3404, 2022 | 160 | 2022 |
| Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment S Qiu, GH Chang, M Panagia, DM Gopal, R Au, VB Kolachalama Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 10, 737-749, 2018 | 133 | 2018 |
| Improving resolution in quantum subnanometre-gap tip-enhanced Raman nanoimaging Y Zhang, DV Voronine, S Qiu, AM Sinyukov, M Hamilton, Z Liege, ... Scientific reports 6 (1), 25788, 2016 | 71 | 2016 |
| Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany, AZ Mian, SP Chin, R Au, ... Alzheimer's research & therapy 13 (1), 1-11, 2021 | 66 | 2021 |
| Assessment of knee pain from MR imaging using a convolutional Siamese network GH Chang, DT Felson, S Qiu, A Guermazi, TD Capellini, VB Kolachalama European radiology 30, 3538-3548, 2020 | 55 | 2020 |
| Deep learning-based classification and anomaly detection of side-channel signals X Wang, Q Zhou, J Harer, G Brown, S Qiu, Z Dou, J Wang, A Hinton, ... Cyber Sensing 2018 10630, 37-44, 2018 | 47 | 2018 |
| Rhoda Au, and Vijaya B Kolachalama. Fusion of deep learning models of MRI scans, mini–mental state examination, and logical memory test enhances diagnosis of mild cognitive … S Qiu, GH Chang, M Panagia, DM Gopal Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 10 (737 …, 2018 | 6 | 2018 |
| Deep learning for risk-based stratification of cognitively impaired individuals MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ... iScience 26 (9), 2023 | 4 | 2023 |
| Quantum limit in subnanometre-gap tip-enhanced nanoimaging of few-layer MoS2 Y Zhang, DV Voronine, S Qiu, AM Sinyukov, M Hamilton, AV Sokolov, ... arXiv preprint arXiv:1512.07333, 2015 | 4 | 2015 |
| Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany, A Mian, SP Chin, R Au, ... medRxiv, 2020.07. 22.20159814, 2020 | 3 | 2020 |
| P1‐119: ENHANCING DEEP LEARNING MODEL PERFORMANCE FOR AD DIAGNOSIS USING ROI‐BASED SELECTION S Qiu, MS Heydari, MI Miller, PS Joshi, BC Wong, R Au, VB Kolachalama Alzheimer's & Dementia 15, P280-P281, 2019 | 3 | 2019 |
| Deep learning-driven risk-based subtyping of cognitively impaired individuals MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ... medRxiv, 2021.12. 08.21267495, 2021 | 2 | 2021 |
| Rhoda Au, and Vijaya B. Kolachalama." Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning." X Zhou, S Qiu, PS Joshi, C Xue, RJ Killiany, AZ Mian, SP Chin Alzheimer's Research & Therapy 13, 1-11, 2021 | 2 | 2021 |
| Pairwise learning of MRI scans using a convolutional Siamese network for prediction of knee pain GH Chang, DT Felson, S Qiu, A Guermazi, TD Capellini, VB Kolachalama bioRxiv, 463497, 2018 | 2 | 2018 |
| Association of structural MRI with Braak staging using neural network‐based risk scoring MI Miller, S Qiu, PS Joshi, J Lee, R Au, VB Kolachalama Alzheimer's & Dementia 19, e068032, 2023 | 1 | 2023 |
| Deep learning for Alzheimer’s disease: towards the development of an assistive diagnostic tool S Qiu Boston University, 2022 | | 2022 |
| Comparative analysis of cerebrospinal fluid markers and multimodal imaging in predicting Alzheimer’s disease progression MF Romano, A Balachandra, X Zhou, M Jadick, S Qiu, D Nijhawan, ... Alzheimer's & Dementia 17, e054457, 2021 | | 2021 |
| Correction to: Assessment of knee pain from MR imaging using a convolutional Siamese network GH Chang, DT Felson, Q Shangran, G Ali, TD Capellini, VB Kolachalama European Radiology 30 (12), 6968-6968, 2020 | | 2020 |
| Assessment of knee pain from MR imaging using a convolutional Siamese network (vol 30, pg 3538, 2020) GH Chang, DT Felson, S Qiu, A Guermazi, TD Capellini, VB Kolachalama EUROPEAN RADIOLOGY 30 (12), 6968-6968, 2020 | | 2020 |
Vijaya B. KolachalamaAssociate Professor, Boston University在 bu.edu 的电子邮件经过验证
