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88 89<div id="gridid" class="col-sm-12"> 90 <h1 id="publications">Publications</h1> 91 92<!-- ## Highlights --> 93 94<!-- (For a full list see [below](#full-list) or go to [Google Scholar](https://scholar.google.ch/citations?user=TqxYWZsAAAAJ), [ResearcherID](https://www.researcherid.com/rid/D-7763-2012)) --> 95 96<div class="row"> 97 98 <div class="col-sm-6 clearfix"> 99 <div class="well"> 100 <pubtit>Artificial intelligence-based analytics for diagnosis of small bowel enteropathies and black box feature detection.</pubtit> 101 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 102 <p></p> 103 <p><em>Syed, S., Ehsan, L., Shrivastava, A., Sengupta, S., Khan, M., Kowsari, K., Guleria, S., Sali, R., Kant, K., Kang, S.J., Sadiq, K., Iqbal, N., Cheng, L., Moskaluk, C., Kelly, P., Amadi, B., Syed, A., Moore, S., Brown, D.</em></p> 104 <p><strong><a href="https://journals.lww.com/jpgn/Abstract/2021/06000/Artificial_Intelligence_based_Analytics_for.11.aspx">Journal of Pediatric Gastroenterology and Nutrition 72, no. 6 (2021) 833-841.</a></strong></p> 105 <p class="text-danger"><strong> </strong></p> 106 <p> </p> 107 </div> 108 </div> 109 110 <div class="col-sm-6 clearfix"> 111 <div class="well"> 112 <pubtit>Deep Learning for Whole-Slide Tissue Histopathology Classification - A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrettâs Esophagus.</pubtit> 113 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 114 <p></p> 115 <p><em>Sali, R., Moradinasab, N., Guleria, S., Ehsan, L., Fernandes, P., Shah, T.U., Syed, S. and Brown, D.E.,</em></p> 116 <p><strong><a href="https://www.mdpi.com/2075-4426/10/4/141">Journal of Personalized Medicine 10, no. 4 (2020) 141.</a></strong></p> 117 <p class="text-danger"><strong> </strong></p> 118 <p> </p> 119 </div> 120 </div> 121 122</div> 123 124<div class="row"> 125 126 <div class="col-sm-6 clearfix"> 127 <div class="well"> 128 <pubtit>Deep learning methods for anatomical landmark detection in video capsule endoscopy images.</pubtit> 129 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 130 <p></p> 131 <p><em>Adewole, S., Yeghyayan, M., Hyatt, D., Ehsan, L., Jablonski, J., Copland, A., Syed, S. and Brown, D.,</em></p> 132 <p><strong><a href="https://www.researchgate.net/publication/342571247_Deep_Learning_Methods_for_Anatomical_Landmark_Detection_in_Video_Capsule_Endoscopy_Images">Proceedings of the Future Technologies Conference, pp. 426-434. Springer, Cham, 2020.</a></strong></p> 133 <p class="text-danger"><strong> </strong></p> 134 <p> </p> 135 </div> 136 </div> 137 138 <div class="col-sm-6 clearfix"> 139 <div class="well"> 140 <pubtit>CoMixMatch - Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images</pubtit> 141 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 142 <p></p> 143 <p><em>Pulido, J.V., Syed, S. and Brown, D.E.,</em></p> 144 <p><strong><a href="https://www.researchgate.net/publication/349389822_CoMixMatch_Semi-supervised_Detection_of_Pancreatic_Cancer_on_Noisy_Gigapixel_Histology_Images">2021 BIOIMAGING.</a></strong></p> 145 <p class="text-danger"><strong> </strong></p> 146 <p> </p> 147 </div> 148 </div> 149 150</div> 151 152<div class="row"> 153 154 <div class="col-sm-6 clearfix"> 155 <div class="well"> 156 <pubtit>Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision.</pubtit> 157 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 158 <p></p> 159 <p><em>William Adorno, I.I.I., Catalano, A., Ehsan, L., von Eckstaedt, H.V., Barnes, B., McGowan, E., Syed, S. and Brown, D.E.,</em></p> 160 <p><strong><a href="https://arxiv.org/abs/2101.05326">2021 BIOIMAGING. (Best Paper Award)</a></strong></p> 161 <p class="text-danger"><strong> </strong></p> 162 <p> </p> 163 </div> 164 </div> 165 166 <div class="col-sm-6 clearfix"> 167 <div class="well"> 168 <pubtit>HistoTransfer - Understanding Transfer Learning for Histopathology.</pubtit> 169 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 170 <p></p> 171 <p><em>Sharma, Y., Ehsan, L., Syed, S. and Brown, D.E.</em></p> 172 <p><strong><a href="https://arxiv.org/abs/2106.07068">2021 IEEE International Conference on Biomedical and Health Informatics (BHI-21). (Best Paper Award)</a></strong></p> 173 <p class="text-danger"><strong> </strong></p> 174 <p> </p> 175 </div> 176 </div> 177 178</div> 179 180<div class="row"> 181 182 <div class="col-sm-6 clearfix"> 183 <div class="well"> 184 <pubtit>Cluster-to-Conquer - A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification</pubtit> 185 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 186 <p></p> 187 <p><em>Sharma, Y., Shrivastava, A., Ehsan, L., Moskaluk, C.A., Syed, S. and Brown, D.E.</em></p> 188 <p><strong><a href="https://arxiv.org/abs/2103.10626">2021 MIDL.</a></strong></p> 189 <p class="text-danger"><strong> </strong></p> 190 <p> </p> 191 </div> 192 </div> 193 194 <div class="col-sm-6 clearfix"> 195 <div class="well"> 196 <pubtit>Semi-Supervised Classification of Noisy, Gigapixel Histology Images.</pubtit> 197 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 198 <p></p> 199 <p><em>Pulido, J.V., Guleria, S., Ehsan, L., Fasullo, M., Lippman, R., Mutha, P., Shah, T., Syed, S. and Brown, D.E.</em></p> 200 <p><strong><a href="https://ieeexplore.ieee.org/document/9287980">2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 563-568. IEEE.</a></strong></p> 201 <p class="text-danger"><strong> </strong></p> 202 <p> </p> 203 </div> 204 </div> 205 206</div> 207 208<div class="row"> 209 210 <div class="col-sm-6 clearfix"> 211 <div class="well"> 212 <pubtit>Screening for Barrett's Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos.</pubtit> 213 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 214 <p></p> 215 <p><em>Pulido, J.V., Guleriai, S., Ehsan, L., Shah, T., Syed, S. and Brown, D.E.</em></p> 216 <p><strong><a href="https://ieeexplore.ieee.org/document/9098630">2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1659-1663). IEEE.</a></strong></p> 217 <p class="text-danger"><strong> </strong></p> 218 <p> </p> 219 </div> 220 </div> 221 222 <div class="col-sm-6 clearfix"> 223 <div class="well"> 224 <pubtit>Hierarchical deep convolutional neural networks for multi-category diagnosis of gastrointestinal disorders on histopathological images.</pubtit> 225 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 226 <p></p> 227 <p><em>Sali, R., Adewole, S., Ehsan, L., Denson, L.A., Kelly, P., Amadi, B.C., Holtz, L., Ali, S.A., Moore, S.R., Syed, S. and Brown, D.E.</em></p> 228 <p><strong><a href="https://arxiv.org/abs/2005.03868">2020 IEEE International Conference on Healthcare Informatics (ICHI), pp. 1-6. IEEE.</a></strong></p> 229 <p class="text-danger"><strong> </strong></p> 230 <p> </p> 231 </div> 232 </div> 233 234</div> 235 236<div class="row"> 237 238 <div class="col-sm-6 clearfix"> 239 <div class="well"> 240 <pubtit>HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach</pubtit> 241 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 242 <p></p> 243 <p><em>Kowsari, K., Sali, R., Ehsan, L., Adorno, W., Ali, A., Moore, S., Amadi, B., Kelly, P., Syed, S. and Brown, D.E.</em></p> 244 <p><strong><a href="https://arxiv.org/abs/2006.07187">
244Information 11, no. 6 (2020) 318.</a></strong></p> 245 <p class="text-danger"><strong> </strong></p> 246 <p> </p> 247 </div> 248 </div> 249 250 <div class="col-sm-6 clearfix"> 251 <div class="well"> 252 <pubtit>Self-Attentive Adversarial Stain Normalization</pubtit> 253 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 254 <p></p> 255 <p><em>Shrivastava, A., Adorno, W., Sharma, Y., Ehsan, L., Ali, S.A., Moore, S.R., Amadi, B., Kelly, P., Syed, S. and Brown, D.E.</em></p> 256 <p><strong><a href="https://arxiv.org/abs/1909.01963">International Conference on Pattern Recognition, pp. 120-140. Springer, Cham, 2021.</a></strong></p> 257 <p class="text-danger"><strong> </strong></p> 258 <p> </p> 259 </div> 260 </div> 261 262</div> 263 264<div class="row"> 265 266 <div class="col-sm-6 clearfix"> 267 <div class="well"> 268 <pubtit>Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease</pubtit> 269 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 270 <p></p> 271 <p><em>Shrivastava, A., Kant, K., Sengupta, S., Kang, S.J., Khan, M., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Brown, D.E. and Syed, S.</em></p> 272 <p><strong><a href="https://ieeexplore.ieee.org/abstract/document/8834458">2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (pp. 1-4). IEEE.</a></strong></p> 273 <p class="text-danger"><strong> </strong></p> 274 <p> </p> 275 </div> 276 </div> 277 278 <div class="col-sm-6 clearfix"> 279 <div class="well"> 280 <pubtit>Artificial intelligence applied to gastrointestinal diagnostics: a review</pubtit> 281 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 282 <p></p> 283 <p><em>Patel, V., Khan, M.N., Shrivastava, A., Sadiq, K., Ali, S.A., Moore, S.R., Brown, D.E. and Syed, S.</em></p> 284 <p><strong><a href="https://journals.lww.com/jpgn/Abstract/2020/01000/Artificial_Intelligence_Applied_to.4.aspx">Journal of pediatric gastroenterology and nutrition, 70(1), pp.4-11.</a></strong></p> 285 <p class="text-danger"><strong> </strong></p> 286 <p> </p> 287 </div> 288 </div> 289 290</div> 291 292<div class="row"> 293 294 <div class="col-sm-6 clearfix"> 295 <div class="well"> 296 <pubtit>Assessment of machine learning detection of environmental enteropathy and celiac disease in children</pubtit> 297 <p><img src="/images/pubs/pub1.png" class="img-responsive" width="33%" style="float: left" /></p> 298 <p></p> 299 <p><em>Syed, S., Al-Boni, M., Khan, M.N., Sadiq, K., Iqbal, N.T., Moskaluk, C.A., Kelly, P., Amadi, B., Ali, S.A., Moore, S.R. and Brown, D.E.</em></p> 300 <p><strong><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2735765">JAMA network open, 2(6), pp.e195822-e195822.</a></strong></p> 301 <p class="text-danger"><strong> </strong></p> 302 <p> </p> 303 </div> 304 </div> 305 306 <div class="col-sm-6 clearfix"> 307 <div class="well"> 308 <pubtit>CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks</pubtit> 309 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 310 <p></p> 311 <p><em>Sali, R., Ehsan, L., Kowsari, K., Khan, M., Moskaluk, C.A., Syed, S. and Brown, D.E.</em></p> 312 <p><strong><a href="https://arxiv.org/abs/1910.03084">arXiv preprint arXiv:1910.03084.</a></strong></p> 313 <p class="text-danger"><strong> </strong></p> 314 <p> </p> 315 </div> 316 </div> 317 318</div> 319 320<div class="row"> 321 322 <div class="col-sm-6 clearfix"> 323 <div class="well"> 324 <pubtit>Diagnosis of celiac disease and environmental enteropathy on biopsy images using color balancing on convolutional neural networks</pubtit> 325 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 326 <p></p> 327 <p><em>Kowsari, K., Sali, R., Khan, M.N., Adorno, W., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Syed, S. and Brown, D.E.</em></p> 328 <p><strong><a href="https://link.springer.com/chapter/10.1007/978-3-030-32520-6_55">Proceedings of the Future Technologies Conference (pp. 750-765). Springer, Cham.</a></strong></p> 329 <p class="text-danger"><strong> </strong></p> 330 <p> </p> 331 </div> 332 </div> 333 334 <div class="col-sm-6 clearfix"> 335 <div class="well"> 336 <pubtit>Mo1992âSolving the Stain Dilemma: Computational Image Analysis to Address Differential Tissue Staining Color Bias in Duodenal Biopsies</pubtit> 337 <p><img src="/images/pubs/pub2.jpg" class="img-responsive" width="33%" style="float: left" /></p> 338 <p></p> 339 <p><em>Sana Syed, Aman Shrivastava, Karan Kant, Saurav Sengupta, Luke Kang, Marium N Khan, Najeeha T Iqbal, Kamran Sadiq, Christopher A Moskaluk, Beatrice Amadi, Paul Kelly, Asad Ali, Sean Moore, Donald Brown</em></p> 340 <p><strong><a href="https://www.gastrojournal.org/article/S0016-5085(19)39255-8/abstract">Gastronenterology</a></strong></p> 341 <p class="text-danger"><strong> </strong></p> 342 <p> </p> 343 </div> 344 </div> 345 346</div> 347 348<div class="row"> 349 350 <div class="col-sm-6 clearfix"> 351 <div class="well"> 352 <pubtit>Deep Learning for Detecting Diseases in Gastrointestinal Biopsy Images</pubtit> 353 <p>
353<img src="/images/pubs/pub3.gif" class="img-responsive" width="33%" style="float: left" /></p> 354 <p></p> 355 <p><em>Aman Srivastava, Saurav Sengupta, Sung-Jun Kang, Karan Kant, Marium Khan, S Asad Ali, Sean R Moore, Beatrice C Amadi, Paul Kelly, Sana Syed, Donald E Brown</em></p> 356 <p><strong><a href="https://ieeexplore.ieee.org/abstract/document/8735619">IEEE Xplore</a></strong></p> 357 <p class="text-danger"><strong> </strong></p> 358 <p> </p> 359 </div> 360 </div> 361 362</div> 363 364<p> Â </p> 365 366<h2 id="full-list">Full List</h2> 367 368<p>Artificial intelligence-based analytics for diagnosis of small bowel enteropathies and black box feature detection. <br /> 369 <em>Syed, S., Ehsan, L., Shrivastava, A., Sengupta, S., Khan, M., Kowsari, K., Guleria, S., Sali, R., Kant, K., Kang, S.J., Sadiq, K., Iqbal, N., Cheng, L., Moskaluk, C., Kelly, P., Amadi, B., Syed, A., Moore, S., Brown, D. </em><br /><a href="https://journals.lww.com/jpgn/Abstract/2021/06000/Artificial_Intelligence_based_Analytics_for.11.aspx">Journal of Pediatric Gastroenterology and Nutrition 72, no. 6 (2021) 833-841.</a></p> 370 371<p>Deep Learning for Whole-Slide Tissue Histopathology Classification - A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrettâs Esophagus. <br /> 372 <em>Sali, R., Moradinasab, N., Guleria, S., Ehsan, L., Fernandes, P., Shah, T.U., Syed, S. and Brown, D.E., </em><br /><a href="https://www.mdpi.com/2075-4426/10/4/141">Journal of Personalized Medicine 10, no. 4 (2020) 141.</a></p> 373 374<p>Deep learning methods for anatomical landmark detection in video capsule endoscopy images. <br /> 375 <em>Adewole, S., Yeghyayan, M., Hyatt, D., Ehsan, L., Jablonski, J., Copland, A., Syed, S. and Brown, D., </em><br /><a href="https://www.researchgate.net/publication/342571247_Deep_Learning_Methods_for_Anatomical_Landmark_Detection_in_Video_Capsule_Endoscopy_Images">Proceedings of the Future Technologies Conference, pp. 426-434. Springer, Cham, 2020.</a></p> 376 377<p>CoMixMatch - Semi-supervised Detection of Pancreatic Cancer on Noisy, Gigapixel Histology Images <br /> 378 <em>Pulido, J.V., Syed, S. and Brown, D.E., </em><br /><a href="https://www.researchgate.net/publication/349389822_CoMixMatch_Semi-supervised_Detection_of_Pancreatic_Cancer_on_Noisy_Gigapixel_Histology_Images">2021 BIOIMAGING.</a></p> 379 380<p>Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision. <br /> 381 <em>William Adorno, I.I.I., Catalano, A., Ehsan, L., von Eckstaedt, H.V., Barnes, B., McGowan, E., Syed, S. and Brown, D.E., </em><br /><a href="https://arxiv.org/abs/2101.05326">2021 BIOIMAGING. (Best Paper Award)</a></p> 382 383<p>HistoTransfer - Understanding Transfer Learning for Histopathology. <br /> 384 <em>Sharma, Y., Ehsan, L., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2106.07068">2021 IEEE International Conference on Biomedical and Health Informatics (BHI-21). (Best Paper Award)</a></p> 385 386<p>Cluster-to-Conquer - A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification <br /> 387 <em>Sharma, Y., Shrivastava, A., Ehsan, L., Moskaluk, C.A., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2103.10626">2021 MIDL.</a></p> 388 389<p>Semi-Supervised Classification of Noisy, Gigapixel Histology Images. <br /> 390 <em>Pulido, J.V., Guleria, S., Ehsan, L., Fasullo, M., Lippman, R., Mutha, P., Shah, T., Syed, S. and Brown, D.E. </em><br /><a href="https://ieeexplore.ieee.org/document/9287980">2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 563-568. IEEE.</a></p> 391 392<p>Screening for Barrettâs Esophagus with Probe-Based Confocal Laser Endomicroscopy Videos. <br /> 393 <em>Pulido, J.V., Guleriai, S., Ehsan, L., Shah, T., Syed, S. and Brown, D.E. </em><br /><a href="https://ieeexplore.ieee.org/document/9098630">2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 1659-1663). IEEE.</a></p> 394 395<p>Hierarchical deep convolutional neural networks for multi-category diagnosis of gastrointestinal disorders on histopathological images. <br /> 396 <em>Sali, R., Adewole, S., Ehsan, L., Denson, L.A., Kelly, P., Amadi, B.C., Holtz, L., Ali, S.A., Moore, S.R., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2005.03868">2020 IEEE International Conference on Healthcare Informatics (ICHI), pp. 1-6. IEEE.</a></p> 397 398<p>HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach <br /> 399 <em>Kowsari, K., Sali, R., Ehsan, L., Adorno, W., Ali, A., Moore, S., Amadi, B., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/2006.07187">
399Information 11, no. 6 (2020) 318.</a></p> 400 401<p>Self-Attentive Adversarial Stain Normalization <br /> 402 <em>Shrivastava, A., Adorno, W., Sharma, Y., Ehsan, L., Ali, S.A., Moore, S.R., Amadi, B., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/1909.01963">International Conference on Pattern Recognition, pp. 120-140. Springer, Cham, 2021.</a></p> 403 404<p>Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease <br /> 405 <em>Shrivastava, A., Kant, K., Sengupta, S., Kang, S.J., Khan, M., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Brown, D.E. and Syed, S. </em><br /><a href="https://ieeexplore.ieee.org/abstract/document/8834458">2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) (pp. 1-4). IEEE.</a></p> 406 407<p>Artificial intelligence applied to gastrointestinal diagnostics: a review <br /> 408 <em>Patel, V., Khan, M.N., Shrivastava, A., Sadiq, K., Ali, S.A., Moore, S.R., Brown, D.E. and Syed, S. </em><br /><a href="https://journals.lww.com/jpgn/Abstract/2020/01000/Artificial_Intelligence_Applied_to.4.aspx">Journal of pediatric gastroenterology and nutrition, 70(1), pp.4-11.</a></p> 409 410<p>Assessment of machine learning detection of environmental enteropathy and celiac disease in children <br /> 411 <em>Syed, S., Al-Boni, M., Khan, M.N., Sadiq, K., Iqbal, N.T., Moskaluk, C.A., Kelly, P., Amadi, B., Ali, S.A., Moore, S.R. and Brown, D.E. </em><br /><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2735765">JAMA network open, 2(6), pp.e195822-e195822.</a></p> 412 413<p>CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks <br /> 414 <em>Sali, R., Ehsan, L., Kowsari, K., Khan, M., Moskaluk, C.A., Syed, S. and Brown, D.E. </em><br /><a href="https://arxiv.org/abs/1910.03084">arXiv preprint arXiv:1910.03084.</a></p> 415 416<p>Diagnosis of celiac disease and environmental enteropathy on biopsy images using color balancing on convolutional neural networks <br /> 417 <em>Kowsari, K., Sali, R., Khan, M.N., Adorno, W., Ali, S.A., Moore, S.R., Amadi, B.C., Kelly, P., Syed, S. and Brown, D.E. </em><br /><a href="https://link.springer.com/chapter/10.1007/978-3-030-32520-6_55">Proceedings of the Future Technologies Conference (pp. 750-765). Springer, Cham.</a></p> 418 419<p>Mo1992âSolving the Stain Dilemma: Computational Image Analysis to Address Differential Tissue Staining Color Bias in Duodenal Biopsies <br /> 420 <em>Sana Syed, Aman Shrivastava, Karan Kant, Saurav Sengupta, Luke Kang, Marium N Khan, Najeeha T Iqbal, Kamran Sadiq, Christopher A Moskaluk, Beatrice Amadi, Paul Kelly, Asad Ali, Sean Moore, Donald Brown </em><br /><a href="https://www.gastrojournal.org/article/S0016-5085(19)39255-8/abstract">Gastronenterology</a></p> 421 422<p>Deep Learning for Detecting Diseases in Gastrointestinal Biopsy Images <br /> 423 <em>Aman Srivastava, Saurav Sengupta, Sung-Jun Kang, Karan Kant, Marium Khan, S Asad Ali, Sean R Moore, Beatrice C Amadi, Paul Kelly, Sana Syed, Donald E Brown </em><br /><a href="https://ieeexplore.ieee.org/abstract/document/8735619">IEEE Xplore</a></p> 424 425 426</div> 427 </div> 428 </div> 429 430 <div id="footer" class="panel"> 431 <div class="panel-footer"> 432 <div class="container-fluid"> 433 <div class="row"> 434 <div class="col-sm-4"> 435 436 <p>© Gut Intelligence Lab </p> 437 <p> Made with <a href="https://jekyllrb.com">Jekyll</a> </p> 438 <!-- <p> Forked from <a href="http://www.allanlab.org">Allan Lab</a> </p> --> 439 <!-- <p>We are part of the <a href="https://www.physics.leidenuniv.nl/">Leiden Institute of Physics</a> 440 at <a href="https://www.leidenuniv.nl">Leiden University</a>.</p> --> 441 442 443 444 </div> 445 <div class="col-sm-4"></div> 446 <!-- <div class="col-sm-4"> 447 Funding:<br /> 448 - <a href="http://www.nwo.nl/en/research-and-results/programmes/Talent+Scheme">Vidi </a> and <a 449 href='https://www.fom.nl/en/news/press-releases/2016/11/18/28634/'>Projectruimte</a> grants from 450 <a href="http://www.nwo.nl">NWO</a> <br /> 451 - <a 452 href="https://www.universiteitleiden.nl/en/research/research-projects/science/frontiers-of-nanoscience-nanofront">Frontier 453 of Nanosciences</a>, a gravity program from <a href="http://www.nwo.nl">NWO</a> 454 - <a href='https://www.universiteitleiden.nl/en/news/2017/08/two-erc-grants-for-leiden-physics'>ERC 455 starting grant</a> 456 </div> --> 457 <!-- <div class="col-sm-4"> 458 <img src="https://gastrodatasciencelab.org/images/logopic/uva-logo.png" 459 style="width: 200px; height: auto; margin: 10px 0px 10px 80px;" /> 460 Contact:<br /> 461 Oort building, Leiden University<br /> 462 Niels Bohrweg 2<br /> 463 2333 CA Leiden<br /> 464 Netherlands <br /> 465 (<a href="https://goo.gl/maps/H2RjutkyoUH2">Maps</a>, <a 466 href="http://www.physics.leidenuniv.nl/travel-directions">Directions</a>) 467 </div> --> 468 </div> 469 </div> 470 </div> 471</div> 472
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