Hans-Peter Graf

Title: Innovations by Hans-Peter Graf

Introduction

Hans-Peter Graf is an accomplished inventor based in Lincroft, NJ (US). He has made significant contributions to the field of histology through his innovative patents. With a total of 3 patents, Graf's work focuses on computational methods for tissue classification.

Latest Patents

One of his latest patents is titled "Computationally efficient whole tissue classifier for histology slides." This invention discloses systems and methods for classifying histological tissues or specimens in two phases. The first phase involves off-line training using a processor, where classifiers are trained based on examples. This includes finding a split of features into sets of increasing computational cost and assigning a computational cost to each set. The second phase applies the classifiers to an unknown tissue sample, extracting features and making tissue-level decisions based on a current state.

Another notable patent is the "Whole tissue classifier for histology biopsy slides." This computer-implemented method enables fully automated tissue diagnosis. It trains a region of interest (ROI) classifier in a supervised manner, where labels are provided only at a tissue level. The method finds ROIs, extracts feature vectors, and applies the ROI classifier to obtain probabilities, which are then used to output a final diagnosis for the whole tissue.

Career Highlights

Hans-Peter Graf is currently employed at Nec Laboratories America, Inc. His work has significantly advanced the field of automated tissue diagnosis, making it more efficient and reliable. His innovative approaches have garnered attention in the scientific community.

Collaborations

Graf has collaborated with notable colleagues, including Eric Cosatto and Pierre-Francois Laquerre. Their combined expertise has contributed to the success of their projects and innovations.

Conclusion

Hans-Peter Graf's contributions to histology through his patents demonstrate his commitment to advancing medical technology. His innovative methods for tissue classification are paving the way for more efficient diagnostic processes.