Bio

Hi ! I am an ICME master's degree student at Stanford University. Prior to Stanford, I dedicated six months conducting research at Harvard under the supervision of Dr. Mengyu Wang, focusing primarily on Computer Vision tasks like Image Segmentation and Vision-Language Models. Before joining ICME , I have had the opportunity to work for six months supervised by Stanford Professor Craig Levin, researching the application of Diffusion Models for image super-resolution.

My research interests primarily revolve around computer vision, deep learning, and generative AI, with a growing interest for 3D modeling and video generation.

Contact

Additional Info

  • Mail Code: 5488

Links

All Publications

  • Direct Generation of Attenuation and Scatter Correction of Brain PET Data Using a Conditional Latent Diffusion Model IEEE NSS MIC (Nuclear Science Symposium, Medical Imaging Conference) Kouhana, A., Jafaritadi, M., Chinn, G., Levin, C. S. 2024
  • FairCLIP: Harnessing Fairness in Vision-Language Learning Luo*, Y., Shi, M., Khan*, M. Conference on Computer Vision and Pattern Recognition. 2024
  • Super-Resolution Tomographic Image Reconstruction Using Latent Diffusion Models IEEE NSS MIC (Nuclear Science Symposium, Medical Imaging Conference) 2024 Kouhana, A., Jafaritadi, M., Chinn, G., Levin, C. S. 2024
  • FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling Tian*, Y., Shi*, M., Luo*, Y., Kouhana, A., Elze, T., Wang, M. International Conference on Learning Representation. 2023