Enhancing the performance of cooperative face detector by NFGS. - Snehal Yesugade; Palak Dave; Srinkhala Srivastava; Apurba Das (ICDIP, 2015)

Vehicle boundary improvement and passing vehicle detection in driver assistance by flow distribution. - Apurba Das; K. Ruppin; Palak Dave; Sharfudheen Pv (IPTA, 2017)

Iterative Deep Learning Based Unbiased Stereology with Human-in-the-Loop. - Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Palak Dave; Hady Ahmady Phoulady; Peter R. Mouton (ICMLA, 2018)

Exploring bias in F-score computation methods of multi-class segmentation models. - Lisa Schneider; Palak Dave; Lubaina Arsiwala-Scheppach; Falk Schwendicke; Joachim Krois (ICVIP, 2021)

Classification of global microglia proliferation based on deep learning with local images. - Hunter Morera; Palak Dave; Yaroslav Kolinko; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Image Processing, 2022)

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning. - Palak Dave (2022)

MIMO YOLO - A Multiple Input Multiple Output Model for Automatic Cell Counting. - Hunter Morera; Palak Dave; Saeed S. Alahmari; Yaroslav Kolinko; Lawrence O. Hall; Dmitry B. Goldgof; Peter R. Mouton (CBMS, 2023)

MIMO U-Net: efficient cell segmentation and counting in microscopy image sequences. - Palak Dave; Yaroslav Kolinko; Hunter Morera; Kurtis Allen; Saeed S. Alahmari; Dmitry B. Goldgof; Lawrence O. Hall; Peter R. Mouton (Digital and Computational Pathology, 2023)