Automatic analysis of agarose gel images. - P. S. Umesh Adiga; A. Bhomra; Maria Grazia Turri; A. Nicod; S. R. Datta; Peter Jeavons 001; Richard Mott; Jonathan Flint (Bioinform., 2001)

An efficient tool for genetic experiments: agarose gel image analysis. - P. S. Umesh Adiga; Jonathan Flint (Pattern Recognit., 2003)

Management, presentation and interpretation of genome scans using GSCANDB. - Martin S. Taylor; William Valdar; Ashish Kumar 002; Jonathan Flint; Richard Mott (Bioinform., 2007)

Identifying comorbidities from depressed people via voice analysis. - Jingying Wang; Xiaoyun Sui; Tingshao Zhu; Jonathan Flint (BIBM, 2017)

Detecting Postpartum Depression in Depressed People by Speech Features. - Jingying Wang; Xiaoyun Sui; Bin Hu 001; Jonathan Flint; Shuotian Bai; Yuanbo Gao; Yang Zhou 003; Tingshao Zhu (HCC, 2017)

Effectiveness of Voice Quality Features in Detecting Depression. - Amber Afshan; Jinxi Guo; Soo Jin Park; Vijay Ravi; Jonathan Flint; Abeer Alwan (INTERSPEECH, 2018)

Leveraging eQTLs to identify individual-level tissue of interest for a complex trait. - Arunabha Majumdar; Claudia Giambartolomei; Na Cai; Tanushree Haldar; Tommer Schwarz; Michael J. Gandal; Jonathan Flint; Bogdan Pasaniuc (PLoS Comput. Biol., 2021)

Fraug: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals. - Vijay Ravi; Jinhan Wang; Jonathan Flint; Abeer Alwan (ICASSP, 2022)

A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement. - Vijay Ravi; Jinhan Wang; Jonathan Flint; Abeer Alwan (INTERSPEECH, 2022)

Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals. - Jinhan Wang; Vijay Ravi; Jonathan Flint; Abeer Alwan (INTERSPEECH, 2022)

A comprehensive benchmarking of WGS-based deletion structural variant callers. - Varuni Sarwal; Sebastian Niehus; Ram Ayyala; Minyoung Kim; Aditya Sarkar; Sei Chang; Angela Lu; Neha Rajkumar; Nicholas Darci-Maher; Russell Littman; Karishma Chhugani; Arda Soylev; et al. (Briefings Bioinform., 2022)

Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch. - Samir Akre; Brunilda Balliu; Zachary D. Cohen; Jonathan Flint; Amelia Welborn; Alex A. T. Bui; Tomislav D. Zbozinek; Michelle G. Craske (BIBM, 2023)

A Privacy-preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech (short paper). - Vijay Ravi; Jinhan Wang; Jonathan Flint; Abeer Alwan (ML4CMH@AAAI, 2024)

Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement. - Vijay Ravi; Jinhan Wang; Jonathan Flint; Abeer Alwan (Comput. Speech Lang., 2024)

Personalized mood prediction from patterns of behavior collected with smartphones. - Brunilda Balliu; Chris Douglas; Darsol Seok; Liat Shenhav; Yue Wu; Doxa Chatzopoulou; William Kaiser; Victor Chen; Jennifer Kim; Sandeep Deverasetty; Inna Arnaudova; Robert Gibbons; et al. (npj Digit. Medicine, 2024)

Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification. - Jinhan Wang; Vijay Ravi; Jonathan Flint; Abeer Alwan (Speech Commun., 2024)