We'll, I have three here. So this obviously isn't coming from a single team.

Brain Differences Between Men and Women: Evidence From Deep Learning

The proposed 3D CNN yielded a better classification result (93.3%)

Patterns in the human brain mosaic discriminate males from females

Classification accuracy was extremely high [accuracy: 93%, 95% confidence interval (CI) 89.5–94.9%, P < 10−16] and remained significant if head-size-related measurements were excluded [92% (CI 88.9–94.5%), P < 10−16] or regressed out [70% (CI 65.0–74.2%), P < 10−6]. To borrow the framing of Joel et al

Gender Differences Are Encoded Differently in the Structure and Function of the Human Brain Revealed by Multimodal MRI

The multivariate pattern analyses revealed that each of these measures had discriminative power to successfully distinguish between genders (classification accuracy: 94.3%, 90.73%, and 83.89% for GMV, ReHo, and FC, respectively) and their combination further improved the classification performance (96.6%).

Also Savic and Burke's and Ramettis work all accept that you can tell a brains sex, so it seems to be a pretty widely held opinion among neurobiologists.

More work showing brain sex is detectable.

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants