MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; Abhijeet Patil; Nikhil Cherian Kurian; Swapnil Rane; Simon Graham; Quoc Dang Vu; Mieke Zwager; Shan-E-Ahmed Raza; Nasir M. Rajpoot; Xiyi Wu; Huai Chen; et al. (IEEE Trans. Medical Imaging, 2021)

MaskTune: Mitigating Spurious Correlations by Forcing to Explore. - Saeid Asgari Taghanaki; Aliasghar Khani; Fereshte Khani; Ali Gholami; Linh Tran; Ali Mahdavi-Amiri; Ghassan Hamarneh (NeurIPS, 2022)

Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. - Saeid Asgari Taghanaki; Ali Gholami; Fereshte Khani; Kristy Choi; Linh Tran; Ran Zhang; Aliasghar Khani (CoRR, 2022)

Learned Visual Features to Textual Explanations. - Saeid Asgari Taghanaki; Aliasghar Khani; Amir Khasahmadi; Aditya Sanghi; Karl D. D. Willis; Ali Mahdavi-Amiri (CoRR, 2023)

PAIP 2020: Microsatellite instability prediction in colorectal cancer. - Kyungmo Kim; Kyoungbun Lee; Sungduk Cho; Dong Un Kang; Seongkeun Park; Yunsook Kang; Hyunjeong Kim; Gheeyoung Choe; Kyung Chul Moon; Kyu Sang Lee; Jeong Hwan Park; Choyeon Hong; et al. (Medical Image Anal., 2023)

SLiMe: Segment Like Me. - Aliasghar Khani; Saeid Asgari Taghanaki; Aditya Sanghi; Ali Mahdavi-Amiri; Ghassan Hamarneh (ICLR, 2024)

MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs. - Saeid Asgari Taghanaki; Ali Asghar Khani; Amir Khasahmadi (CoRR, 2024)

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings. - Aditya Sanghi; Aliasghar Khani; Pradyumna Reddy; Arianna Rampini; Derek Cheung; Kamal Rahimi Malekshan; Kanika Madan; Hooman Shayani (CoRR, 2024)

UniMoGen: Universal Motion Generation. - Aliasghar Khani; Arianna Rampini; Evan Atherton; Bruno Roy (CoRR, 2025)

Motion Generation: A Survey of Generative Approaches and Benchmarks. - Aliasghar Khani; Arianna Rampini; Bruno Roy; Larasika Nadela; Noa Kaplan; Evan Atherton; Derek Cheung; Jacky Bibliowicz (CoRR, 2025)